Shirui Pan

Orcid: 0000-0003-0794-527X

According to our database1, Shirui Pan authored at least 376 papers between 2010 and 2025.

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Bibliography

2025
CARLA: Self-supervised contrastive representation learning for time series anomaly detection.
Pattern Recognit., 2025

2024
Boosting Graph Contrastive Learning via Adaptive Sampling.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., November, 2024

Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.
IEEE Trans. Cybern., November, 2024

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion.
IEEE Trans. Cybern., October, 2024

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models.
IEEE J. Biomed. Health Informatics, September, 2024

Emerging trends in federated learning: from model fusion to federated X learning.
Int. J. Mach. Learn. Cybern., September, 2024

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Unifying Large Language Models and Knowledge Graphs: A Roadmap.
IEEE Trans. Knowl. Data Eng., July, 2024

Complex query answering over knowledge graphs foundation model using region embeddings on a lie group.
World Wide Web (WWW), May, 2024

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW), May, 2024

Contrastive Graph Similarity Networks.
ACM Trans. Web, May, 2024

Community Preserving Social Recommendation with Cyclic Transfer Learning.
ACM Trans. Inf. Syst., May, 2024

Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2024

PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction.
IEEE J. Biomed. Health Informatics, April, 2024

Improving Augmentation Consistency for Graph Contrastive Learning.
Pattern Recognit., April, 2024

Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data".
Dataset, April, 2024

TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Trustworthy Graph Neural Networks: Aspects, Methods, and Trends.
Proc. IEEE, February, 2024

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.
Inf. Sci., February, 2024

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., January, 2024

ConTIG: Continuous representation learning on temporal interaction graphs.
Neural Networks, 2024

Towards complex dynamic physics system simulation with graph neural ordinary equations.
Neural Networks, 2024

An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph.
Neural Networks, 2024

Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data.
Nat. Mac. Intell., 2024

Temporal dynamics unleashed: Elevating variational graph attention.
Knowl. Based Syst., 2024

Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only.
Knowl. Based Syst., 2024

Co-augmentation of structure and feature for boosting graph contrastive learning.
Inf. Sci., 2024

Graph spatiotemporal process for multivariate time series anomaly detection with missing values.
Inf. Fusion, 2024

Bootstrap Latent Prototypes for graph positive-unlabeled learning.
Inf. Fusion, 2024

Integrating Graphs With Large Language Models: Methods and Prospects.
IEEE Intell. Syst., 2024

Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach.
CoRR, 2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR, 2024

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials.
CoRR, 2024

Differentiating Choices via Commonality for Multiple-Choice Question Answering.
CoRR, 2024

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs.
CoRR, 2024

Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion.
CoRR, 2024

LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning.
CoRR, 2024

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.
CoRR, 2024

Decision-focused Graph Neural Networks for Combinatorial Optimization.
CoRR, 2024

Large Language Model Watermark Stealing With Mixed Integer Programming.
CoRR, 2024

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias.
CoRR, 2024

ARC: A Generalist Graph Anomaly Detector with In-Context Learning.
CoRR, 2024

A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction.
CoRR, 2024

Regressor-free Molecule Generation to Support Drug Response Prediction.
CoRR, 2024

Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks.
CoRR, 2024

Graph Sparsification via Mixture of Graphs.
CoRR, 2024

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning.
CoRR, 2024

Hi-GMAE: Hierarchical Graph Masked Autoencoders.
CoRR, 2024

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.
CoRR, 2024

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey.
CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
CoRR, 2024

Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack.
CoRR, 2024

ROG<sub>PL</sub>: Robust Open-Set Graph Learning via Region-Based Prototype Learning.
CoRR, 2024

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR, 2024

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective.
CoRR, 2024

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis.
CoRR, 2024

Continual Learning for Large Language Models: A Survey.
CoRR, 2024

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion.
Proceedings of the ACM on Web Conference 2024, 2024

Cost-effective Data Labelling for Graph Neural Networks.
Proceedings of the ACM on Web Conference 2024, 2024

Maximizing Malicious Influence in Node Injection Attack.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Similarity Preserving Transformer Cross-Modal Hashing for Video-Text Retrieval.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Foundation Models for Time Series Analysis: A Tutorial and Survey.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedPFT: Federated Proxy Fine-Tuning of Foundation Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Gradformer: Graph Transformer with Exponential Decay.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unsupervised Deep Graph Structure and Embedding Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: What Can Large Language Models Tell Us about Time Series Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online GNN Evaluation Under Test-time Graph Distribution Shifts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Differentiating Choices via Commonality for Multiple-Choice Question Answering.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Augmented Commonsense Knowledge for Remote Object Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Anomaly Detection in Dynamic Graphs via Transformer.
IEEE Trans. Knowl. Data Eng., December, 2023

A Comprehensive Survey on Distributed Training of Graph Neural Networks.
Proc. IEEE, December, 2023

A survey on fairness-aware recommender systems.
Inf. Fusion, December, 2023

Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454].
Neural Networks, November, 2023

Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.
ACM Trans. Inf. Syst., October, 2023

Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective.
IEEE Trans. Mob. Comput., September, 2023

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs.
IEEE Trans. Knowl. Data Eng., September, 2023

A survey on neural-symbolic learning systems.
Neural Networks, September, 2023

Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins.
Comput. Biol. Medicine, September, 2023

Projective Ranking-Based GNN Evasion Attacks.
IEEE Trans. Knowl. Data Eng., August, 2023

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.
Neural Networks, August, 2023

Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering.
IEEE Trans. Knowl. Data Eng., July, 2023

Domain-adaptive message passing graph neural network.
Neural Networks, July, 2023

Graph Self-Supervised Learning: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023

ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species.
Briefings Bioinform., May, 2023

Compact network embedding for fast node classification.
Pattern Recognit., April, 2023

Hierarchical attention neural network for information cascade prediction.
Inf. Sci., April, 2023

Learning Graph Representations With Maximal Cliques.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction.
World Wide Web (WWW), January, 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng., 2023

GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Robust Physical-World Attacks on Face Recognition.
Pattern Recognit., 2023

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

A disentangled linguistic graph model for explainable aspect-based sentiment analysis.
Knowl. Based Syst., 2023

Graph representation learning based on deep generative gaussian mixture models.
Neurocomputing, 2023

Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation.
Expert Syst. Appl., 2023

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics.
ACM Comput. Surv., 2023

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems.
CoRR, 2023

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models.
CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR, 2023

Large Language Models for Scientific Synthesis, Inference and Explanation.
CoRR, 2023

Towards Data-centric Graph Machine Learning: Review and Outlook.
CoRR, 2023

A Novel Neural-symbolic System under Statistical Relational Learning.
CoRR, 2023

Client-side Gradient Inversion Against Federated Learning from Poisoning.
CoRR, 2023

Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification.
CoRR, 2023

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning.
CoRR, 2023

CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection.
CoRR, 2023

G<sup>2</sup>xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.
CoRR, 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.
CoRR, 2023

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.
CoRR, 2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR, 2023

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs.
CoRR, 2023

How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?
CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
CoRR, 2023

Geometric Relational Embeddings: A Survey.
CoRR, 2023

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery.
CoRR, 2023

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks.
CoRR, 2023

Robust Graph Representation Learning for Local Corruption Recovery.
Proceedings of the ACM Web Conference 2023, 2023

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
Proceedings of the ACM Web Conference 2023, 2023

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
Proceedings of the ACM Web Conference 2023, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

The 3rd International Workshop on Machine Learning on Graphs (MLoG).
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Fast Heterogeneous Federated Learning with Hybrid Client Selection.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Self-Interpretable Graph-Level Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Convolutional Incomplete Multi-modal Hashing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Strong Graph Neural Networks with Weak Information.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Compatible Transformer for Irregularly Sampled Multivariate Time Series.
Proceedings of the IEEE International Conference on Data Mining, 2023

Robust Network Alignment with the Combination of Structure and Attribute Embeddings.
Proceedings of the IEEE International Conference on Data Mining, 2023

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Minimal Approach for Natural Language Action Space in Text-based Games.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

How Does ChatGPT Affect Fake News Detection Systems?
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Shrinking Embeddings for Hyper-Relational Knowledge Graphs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Simple and Efficient Heterogeneous Graph Neural Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Neighbor Contrastive Learning on Learnable Graph Augmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Cyclic label propagation for graph semi-supervised learning.
World Wide Web, 2022

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2022

Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing.
IEEE Trans. Mob. Comput., 2022

One-Shot Learning-Based Animal Video Segmentation.
IEEE Trans. Ind. Informatics, 2022

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

StarSum: A Star Architecture Based Model for Extractive Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Discrete embedding for attributed graphs.
Pattern Recognit., 2022

Deep neighbor-aware embedding for node clustering in attributed graphs.
Pattern Recognit., 2022

Multi-level graph learning network for hyperspectral image classification.
Pattern Recognit., 2022

Learning multi-level weight-centric features for few-shot learning.
Pattern Recognit., 2022

Pruning graph neural networks by evaluating edge properties.
Knowl. Based Syst., 2022

Guest Editorial: Graph-powered machine learning in future-generation computing systems.
Future Gener. Comput. Syst., 2022

Mutually reinforced network embedding: An integrated approach to research paper recommendation.
Expert Syst. Appl., 2022

GCNFusion: An efficient graph convolutional network based model for information diffusion.
Expert Syst. Appl., 2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR, 2022

Deep Learning for Time Series Anomaly Detection: A Survey.
CoRR, 2022

Rethinking Efficiency and Redundancy in Training Large-scale Graphs.
CoRR, 2022

Geometry Contrastive Learning on Heterogeneous Graphs.
CoRR, 2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version.
CoRR, 2022

Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version.
CoRR, 2022

MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation.
CoRR, 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.
CoRR, 2022

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach.
CoRR, 2022

Graph Neural Network for Local Corruption Recovery.
CoRR, 2022

Collective Behavior Analysis and Graph Mining in Social Networks 2021.
Complex., 2022

Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Briefings Bioinform., 2022

Online unsupervised cross-view discrete hashing for large-scale retrieval.
Appl. Intell., 2022

Dual Space Graph Contrastive Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Unsupervised Deep Graph Structure Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Predicting Human Mobility via Graph Convolutional Dual-attentive Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Fine-grained Attributed Graph Clustering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pseudo-Riemannian Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ultrahyperbolic Knowledge Graph Embeddings.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint Graph-Sequence Learning for Molecular Property Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Graph Fusion Networks for Urban Region Embedding.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unifying Graph Contrastive Learning with Flexible Contextual Scopes.
Proceedings of the IEEE International Conference on Data Mining, 2022

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing.
Proceedings of the IEEE International Conference on Data Mining, 2022

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2022

Towards Spatio- Temporal Aware Traffic Time Series Forecasting.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Paraphrasing Techniques for Maritime QA system.
Proceedings of the 25th International Conference on Information Fusion, 2022

How Far are We from Robust Long Abstractive Summarization?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Exploring Relational Semantics for Inductive Knowledge Graph Completion.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Comprehensive Survey on Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Graph Neural Networks with Positive and Unlabeled Nodes.
ACM Trans. Knowl. Discov. Data, 2021

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens., 2021

Identify Topic Relations in Scientific Literature Using Topic Modeling.
IEEE Trans. Engineering Management, 2021

Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization.
IEEE Trans. Evol. Comput., 2021

Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective.
IEEE Trans. Cybern., 2021

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications.
IEEE Trans. Comput. Soc. Syst., 2021

Graph Learning: A Survey.
IEEE Trans. Artif. Intell., 2021

One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

OpenWGL: open-world graph learning for unseen class node classification.
Knowl. Inf. Syst., 2021

Bayesian personalized ranking based on multiple-layer neighborhoods.
Inf. Sci., 2021

Knowledge graph representation and reasoning.
Neurocomputing, 2021

Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation.
Expert Syst. Appl., 2021

PUMPNET: a deep learning approach to pump operation detection.
Energy Inform., 2021

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.
CoRR, 2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming.
CoRR, 2021

ConTIG: Continuous Representation Learning on Temporal Interaction Graphs.
CoRR, 2021

TraverseNet: Unifying Space and Time in Message Passing.
CoRR, 2021

Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective.
CoRR, 2021

Anomaly Detection in Dynamic Graphs via Transformer.
CoRR, 2021

Semi-Riemannian Graph Convolutional Networks.
CoRR, 2021

Graph Self-Supervised Learning: A Survey.
CoRR, 2021

Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning.
CoRR, 2021

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR, 2021

Prediction of circRNA-miRNA Associations Based on Network Embedding.
Complex., 2021

Task-adaptive Neural Process for User Cold-Start Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Manifold Approximation and Projection by Maximizing Graph Information.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Self-Supervised Learning Framework for Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients.
Proceedings of the 38th International Conference on Machine Learning, 2021

Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications.
Proceedings of the IEEE International Conference on Data Mining, 2021

Hypergraph Convolutional Network for Group Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Leveraging Information Bottleneck for Scientific Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Medical Code Assignment with Gated Convolution and Note-Code Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion.
World Wide Web, 2020

Social Recommendation With Evolutionary Opinion Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning.
IEEE Trans. Inf. Forensics Secur., 2020

Distributed Feature Selection for Big Data Using Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2020

Exploiting Implicit Influence From Information Propagation for Social Recommendation.
IEEE Trans. Cybern., 2020

Learning Graph Embedding With Adversarial Training Methods.
IEEE Trans. Cybern., 2020

Clustering social audiences in business information networks.
Pattern Recognit., 2020

Measuring distance-based semantic similarity using meronymy and hyponymy relations.
Neural Comput. Appl., 2020

Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization.
CoRR, 2020

SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
CoRR, 2020

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification.
CoRR, 2020

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.
Comput. Intell. Neurosci., 2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.
IEEE Access, 2020

Unsupervised Domain Adaptive Graph Convolutional Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph Geometry Interaction Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph Stochastic Neural Networks for Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multivariate Relations Aggregation Learning in Social Networks.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

One-Shot Neural Architecture Search via Novelty Driven Sampling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Relation-Specific Attention Network for Joint Entity and Relation Extraction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

OpenWGL: Open-World Graph Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GSSNN: Graph Smoothing Splines Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Going Deep: Graph Convolutional Ladder-Shape Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CFOND: Consensus Factorization for Co-Clustering Networked Data.
IEEE Trans. Knowl. Data Eng., 2019

Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation.
IEEE Trans. Ind. Electron., 2019

Time series feature learning with labeled and unlabeled data.
Pattern Recognit., 2019

Efficient Novelty-Driven Neural Architecture Search.
CoRR, 2019

Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access, 2019

Adversarial Action Data Augmentation for Similar Gesture Action Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2019

Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Private Neural Language Modeling with Attentive Aggregation.
Proceedings of the International Joint Conference on Neural Networks, 2019

DAGCN: Dual Attention Graph Convolutional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Low-Bit Quantization for Attributed Network Representation Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph WaveNet for Deep Spatial-Temporal Graph Modeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attributed Graph Clustering: A Deep Attentional Embedding Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation Structure-Aware Heterogeneous Graph Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain-Adversarial Graph Neural Networks for Text Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Detecting Suicidal Ideation with Data Protection in Online Communities.
Proceedings of the Database Systems for Advanced Applications, 2019

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Label Embedding with Partial Heterogeneous Contexts.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng., 2018

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Trans. Cybern., 2018

Query-oriented citation recommendation based on network correlation.
J. Intell. Fuzzy Syst., 2018

Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network.
J. Ambient Intell. Humaniz. Comput., 2018

Heterogeneous Information Network Embedding based Personalized Query-Focused Astronomy Reference Paper Recommendation.
Int. J. Comput. Intell. Syst., 2018

Adversarially Regularized Graph Autoencoder.
CoRR, 2018

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complex., 2018

Supervised Learning for Suicidal Ideation Detection in Online User Content.
Complex., 2018

A Hybrid User Experience Evaluation Method for Mobile Games.
IEEE Access, 2018

Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network.
IEEE Access, 2018

FraudNE: a Joint Embedding Approach for Fraud Detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adversarially Regularized Graph Autoencoder for Graph Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Discriminative Network Representation Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discrete Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method.
IEEE Trans. Cybern., 2017

Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern., 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern., 2017

Boosting for graph classification with universum.
Knowl. Inf. Syst., 2017

Multi-document summarization based on sentence cluster using non-negative matrix factorization.
J. Intell. Fuzzy Syst., 2017

Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks, 2017

Universal network representation for heterogeneous information networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

MGAE: Marginalized Graph Autoencoder for Graph Clustering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Graph Ladder Networks for Network Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng., 2016

Classifying networked text data with positive and unlabeled examples.
Pattern Recognit. Lett., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit., 2016

Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst., 2016

Co-clustering enterprise social networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Complex graph stream mining
PhD thesis, 2015

CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.
IEEE Trans. Knowl. Data Eng., 2015

Boosting for Multi-Graph Classification.
IEEE Trans. Cybern., 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybern., 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit., 2015

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?
Int. J. Comput. Intell. Syst., 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

Multi-Graph-View Learning for Complicated Object Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Multi-Graph Learning with Positive and Unlabeled Bags.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-graph-view Learning for Graph Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Graph Classification with Imbalanced Class Distributions and Noise.
Proceedings of the IJCAI 2013, 2013

Graph stream classification using labeled and unlabeled graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Dynamic classifier ensemble for positive unlabeled text stream classification.
Knowl. Inf. Syst., 2012

Top-k correlated subgraph query for data streams.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Continuous top-k query for graph streams.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

CGStream: continuous correlated graph query for data streams.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010
Classifier Ensemble for Uncertain Data Stream Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010


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