2024
Contrastive sequential interaction network learning on co-evolving Riemannian spaces.
Int. J. Mach. Learn. Cybern., April, 2024
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models.
CoRR, 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
CoRR, 2024
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
CoRR, 2024
Prompt Learning on Temporal Interaction Graphs.
CoRR, 2024
ProCom: A Few-shot Targeted Community Detection Algorithm.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
GetCom: An Efficient and Generalizable Framework for Community Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics.
Knowl. Inf. Syst., November, 2023
When Behavior Analysis Meets Social Network Alignment.
IEEE Trans. Knowl. Data Eng., July, 2023
SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator.
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Patterns, February, 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding.
CoRR, 2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.
CoRR, 2023
ConsRec: Learning Consensus Behind Interactions for Group Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Graph Collaborative Signals Denoising and Augmentation for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Extractive Summarization via ChatGPT for Faithful Summary Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection.
Proceedings of the Database Systems for Advanced Applications, 2023
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.
Proceedings of the Database Systems for Advanced Applications, 2023
Location-Adaptive Generative Graph Augmentation for Fraud Detection.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Dual Intents Graph Modeling for User-centric Group Discovery.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Generative Graph Augmentation for Minority Class in Fraud Detection.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs.
Knowl. Inf. Syst., 2022
Measuring and sampling: A metric-guided subgraph learning framework for graph neural network.
Int. J. Intell. Syst., 2022
Adaptive momentum with discriminative weight for neural network stochastic optimization.
Int. J. Intell. Syst., 2022
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning.
CoRR, 2022
Deoscillated Adaptive Graph Collaborative Filtering.
Proceedings of the Topological, 2022
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles.
Proceedings of the International Joint Conference on Neural Networks, 2022
HEGEL: Hypergraph Transformer for Long Document Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Self-Supervised Mixed-Curvature Graph Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment.
IEEE Trans. Knowl. Data Eng., 2021
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features.
Expert Syst. Appl., 2021
Translational Concept Embedding for Generalized Compositional Zero-shot Learning.
CoRR, 2021
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning.
CoRR, 2021
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation.
Proceedings of the WSDM '21, 2021
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Graph Representation Learning: Foundations, Methods, Applications and Systems.
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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention.
Proceedings of the International Joint Conference on Neural Networks, 2021
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2021
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Label Contrastive Coding Based Graph Neural Network for Graph Classification.
Proceedings of the Database Systems for Advanced Applications, 2021
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Radiology Report Generation for Rare Diseases via Few-shot Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2020
Deoscillated Graph Collaborative Filtering.
CoRR, 2020
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning.
CoRR, 2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection.
CoRR, 2020
HGAT: Hierarchical Graph Attention Network for Fake News Detection.
CoRR, 2020
Graph Neural Distance Metric Learning with Graph-Bert.
CoRR, 2020
Segmented Graph-Bert for Graph Instance Modeling.
CoRR, 2020
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification.
CoRR, 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations.
CoRR, 2020
Attention-based Multi-level Feature Fusion for Named Entity Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
BANANA: when Behavior ANAlysis meets social Network Alignment.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Perfect: A Hyperbolic Embedding for Joint User and Community Alignment.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020
Text Graph Transformer for Document Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Discovering Localized Information for Heterogeneous Graph Node Representation Learning.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020
Low-shot Learning in Natural Language Processing.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020
CommDGI: Community Detection Oriented Deep Graph Infomax.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Few-shot Radiology Report Generation for Rare Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
Learning Signed Network Embedding via Graph Attention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Integrated anchor and social link predictions across multiple social networks.
Knowl. Inf. Syst., 2019
Multi-view collective tensor decomposition for cross-modal hashing.
Int. J. Multim. Inf. Retr., 2019
Heterogeneous Deep Graph Infomax.
CoRR, 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation.
CoRR, 2019
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization.
CoRR, 2019
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization.
CoRR, 2019
Graph Neural Lasso for Dynamic Network Regression.
CoRR, 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification.
CoRR, 2019
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries.
CoRR, 2019
Gradient Descent based Optimization Algorithms for Deep Learning Models Training.
CoRR, 2019
Approximate Similarity Measurements on Multi-Attributes Trajectories Data.
IEEE Access, 2019
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries.
Proceedings of the International Joint Conference on Neural Networks, 2019
Learning Network Embedding with Community Structural Information.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Meta Diagram Based Active Social Networks Alignment.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Deep Heterogeneous Social Network Alignment.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
LATTE: Application Oriented Social Network Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Broad Learning Through Fusions - An Application on Social Networks
Springer, ISBN: 978-3-030-12527-1, 2019
2018
Cross-Platform Social Network Analysis.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs.
ACM Trans. Intell. Syst. Technol., 2018
Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series.
IEEE Trans. Big Data, 2018
Broad Learning: : An Emerging Area in Social Network Analysis.
SIGKDD Explor., 2018
TI-CNN: Convolutional Neural Networks for Fake News Detection.
CoRR, 2018
r-instance Learning for Missing People Tweets Identification.
CoRR, 2018
Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach.
CoRR, 2018
Fake News Detection with Deep Diffusive Network Model.
CoRR, 2018
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model.
CoRR, 2018
GEN Model: An Alternative Approach to Deep Neural Network Models.
CoRR, 2018
Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models.
CoRR, 2018
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning.
CoRR, 2018
On Deep Ensemble Learning from a Function Approximation Perspective.
CoRR, 2018
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization.
CoRR, 2018
Social Network Fusion and Mining: A Survey.
CoRR, 2018
SEGEN: Sample-Ensemble Genetic Evolutional Network Model.
CoRR, 2018
Deep Dynamic Network Embedding for Link Prediction.
IEEE Access, 2018
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Spectral collaborative filtering.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Multi-view Collective Tensor Decomposition for Cross-modal Hashing.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Multi-View Fusion Through Cross-Modal Retrieval.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
A Self-Organizing Tensor Architecture for Multi-view Clustering.
Proceedings of the IEEE International Conference on Data Mining, 2018
Data-driven Blockbuster Planning on Online Movie Knowledge Library.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Community detection for emerging social networks.
World Wide Web, 2017
A Survey of Heterogeneous Information Network Analysis.
IEEE Trans. Knowl. Data Eng., 2017
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks.
Sensors, 2017
LATTE: Application Oriented Network Embedding.
CoRR, 2017
CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks.
IEEE Access, 2017
Enterprise Employee Training via Project Team Formation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Link Prediction with Cardinality Constraint.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Enterprise Community Detection.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Rumor Initiator Detection in Infected Signed Networks.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Broad Learning based Multi-Source Collaborative Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Contaminant removal for Android malware detection systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Inverse extreme learning machine for learning with label proportions.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Real Time Social Attitude Expression Prediction.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
2016
Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching.
Proceedings of the Theoretical Information Reuse and Integration, 2016
Intertwined Viral Marketing through Online Social Networks.
CoRR, 2016
Badge System Analysis and Design.
CoRR, 2016
PCT: Partial Co-Alignment of Social Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer.
Proceedings of the 25th International Conference on World Wide Web, 2016
Trust Hole Identification in Signed Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Bicycle-Sharing System Analysis and Trip Prediction.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016
Discover Tipping Users for Cross Network Influencing (Invited Paper).
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
Multi-source Multi-view Clustering via discrepancy penalty.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Bicycle-sharing systems expansion: station re-deployment through crowd planning.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Trip Route Planning for Bicycle-Sharing Systems.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016
Information Diffusion at Workplace.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
DistSD: Distance-based social discovery with personalized posterior screening.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Inferring Social Influence of anti-Tobacco mass media campaigns.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Intertwined viral marketing in social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
Social badge system analysis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Mutual Community Detection across Multiple Partially Aligned Social Networks.
CoRR, 2015
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching.
CoRR, 2015
Community Detection for Emerging Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Influence Maximization Across Partially Aligned Heterogenous Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Organizational Chart Inference.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
PNA: Partial Network Alignment with Generic Stable Matching.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Integrated Anchor and Social Link Predictions across Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Multiple Anonymized Social Networks Alignment.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Inferring Diffusion Networks with Sparse Cascades by Structure Transfer.
Proceedings of the Database Systems for Advanced Applications, 2015
Enterprise Social Link Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
MCD: Mutual Clustering across Multiple Social Networks.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
Transferring heterogeneous links across location-based social networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Meta-path based multi-network collective link prediction.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Synergistic partitioning in multiple large scale social networks.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Inferring anchor links across multiple heterogeneous social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013