Chuan Zhou

Orcid: 0000-0001-9958-8673

Affiliations:

Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China
University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (former)

According to our database¹, Chuan Zhou authored at least 138 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

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Bibliography

2024

Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., November, 2024

Dynamic Graph Representation Learning via Coupling-Process Model.

[BibT_eX]

[DOI]

Pingtao Duan

Chuan Zhou

Yuting Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2024

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.

[BibT_eX]

[DOI]

World Wide Web (WWW), May, 2024

A Comprehensive Survey on Community Detection With Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2024

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding.

[BibT_eX]

[DOI]

CoRR, 2024

Decision-focused Graph Neural Networks for Combinatorial Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Combinatorial Optimization with Automated Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2024

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2024

Neural Jump-Diffusion Temporal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., October, 2023

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Projective Ranking-Based GNN Evasion Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

GraphNAS++: Distributed Architecture Search for Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Graph Self-Supervised Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Deep spatial-temporal structure learning for rumor detection on Twitter.

[BibT_eX]

[DOI]

Neural Comput. Appl., June, 2023

Online Active Learning for Drifting Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey of Graph-level Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Decision-focused Graph Neural Networks for Graph Learning and Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

API-GNN: attribute preserving oriented interactive graph neural network.

[BibT_eX]

[DOI]

World Wide Web, 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Geometry Contrastive Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Graph-level Neural Networks: Current Progress and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2022

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pseudo-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ultrahyperbolic Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

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

Task-level Relations Modelling for Graph Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Wlinker: Modeling Relational Triplet Extraction As Word Linking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Towards embedding information diffusion data for understanding big dynamic networks.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Learning graph attention-aware knowledge graph embedding.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Semi-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Self-Supervised Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Task-adaptive Neural Process for User Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Graph Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Detecting the evolving community structure in dynamic social networks.

[BibT_eX]

[DOI]

World Wide Web, 2020

Weighted partial order oriented three-way decisions under score-based common voting rules.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

Unsupervised Domain Adaptive Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph Geometry Interaction Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discrete Embedding for Latent Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Learning for Community Detection: Progress, Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Deep Semantic Network Representation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploratory Adversarial Attacks on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

GSSNN: Graph Smoothing Splines Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-View Fusion with Extreme Learning Machine for Clustering.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Deep trajectory: a deep learning approach for mobile advertising in vehicular networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Smooth Deep Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Evolutionary Community Detection in Dynamic Social Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Structure Learning for Rumor Detection on Twitter.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Low-Bit Quantization for Attributed Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Active Learning for Anchor User Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation Structure-Aware Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain-Adversarial Graph Neural Networks for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Early detection of dynamic harmful cascades in large-scale networks.

[BibT_eX]

[DOI]

J. Comput. Sci., 2018

Collective semantic behavior extraction in social networks.

[BibT_eX]

[DOI]

J. Comput. Sci., 2018

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

[BibT_eX]

[DOI]

Complex., 2018

FraudNE: a Joint Embedding Approach for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

iWalk: Interest-Aware Random Walk for Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

User Alignment via Structural Interaction and Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Discriminative Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recommendation with Multi-Source Heterogeneous Information.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Structure Learning for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-target Core Network-Based Networked Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Social Recommendation with an Essential Preference Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Instance cloned extreme learning machine.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2017

Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

CPMF: A collective pairwise matrix factorization model for upcoming event recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Double-bit quantization and weighting for nearest neighbor search.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Big social network influence maximization via recursively estimating influence spread.

[BibT_eX]

[DOI]

Weixue Lu

Chuan Zhou

Jia Wu

Knowl. Based Syst., 2016

Mining subcascade features for cascade outbreak prediction in big networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A recursive method for big network influence estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-Data-Driven Network Coarsening.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2016

Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Collaborative Social Group Influence for Event Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach.

[BibT_eX]

[DOI]

J. Comput. Sci., 2015

Topic-aware Source Locating in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Topic-aware Social Influence Minimization.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Online Event Recommendation for Event-based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Fast Search for Distance Dependent Chinese Restaurant Processes.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Efficient Sensor Placement Optimization for Early Detection of Contagious Outbreaks in Mobile Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Comparative study between incremental and ensemble learning on data streams: Case study.

[BibT_eX]

[DOI]

J. Big Data, 2014

Maximizing the long-term integral influence in social networks under the voter model.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

An upper bound based greedy algorithm for mining top-k influential nodes in social networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Combining geographical information of users and content of items for accurate rating prediction.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014

Minimizing the Negative Influence by Blocking Links in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Nonparametric Topic-Aware Sparsification of Influence Networks.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

Discovering Multiple Diffusion Source Nodes in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

Improving Collaborative Recommendation via Location-based User-item Subgroup.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

Event Recommendation in Event-Based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Combining Heterogenous Social and Geographical Information for Event Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Item-Based Top-k Influential User Discovery in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Personalized influence maximization on social networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Chuan Zhou

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