Personalized influence maximization on social networks. - Jing Guo; Peng Zhang 001; Chuan Zhou 001; Yanan Cao 001; Li Guo 001 (CIKM, 2013)

Item-Based Top-k Influential User Discovery in Social Networks. - Jing Guo; Peng Zhang 001; Chuan Zhou 001; Yanan Cao 001; Li Guo 001 (ICDM Workshops, 2013)

UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. - Chuan Zhou 001; Peng Zhang 001; Jing Guo; Xingquan Zhu 001; Li Guo 001 (ICDM, 2013)

Combining Heterogenous Social and Geographical Information for Event Recommendation. - Zhi Qiao 005; Peng Zhang 001; Yanan Cao 001; Chuan Zhou 001; Li Guo 001; Binxing Fang (AAAI, 2014)

Event Recommendation in Event-Based Social Networks. - Zhi Qiao 005; Peng Zhang 001; Chuan Zhou 001; Yanan Cao 001; Li Guo 001; Yanchuan Zhang (AAAI, 2014)

Improving Collaborative Recommendation via Location-based User-item Subgroup. - Zhi Qiao 005; Peng Zhang 001; Yanan Cao 001; Chuan Zhou 001; Li Guo 001 (ICCS, 2014)

Discovering Multiple Diffusion Source Nodes in Social Networks. - Wenyu Zang; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (ICCS, 2014)

Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists. - Chuan Zhou 001; Peng Zhang 001; Wenyu Zang; Li Guo 001 (ICCS, 2014)

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. - Zhi Qiao 005; Peng Zhang 001; Wenjia Niu; Chuan Zhou 001; Peng Wang 028; Li Guo 001 (ICDM, 2014)

Nonparametric Topic-Aware Sparsification of Influence Networks. - Weiwei Feng; Peng Wang 028; Chuan Zhou 001; Yue Hu 002; Li Guo 001 (ISCTCS, 2014)

Minimizing the Negative Influence by Blocking Links in Social Networks. - Qipeng Yao; Chuan Zhou 001; Linbo Xiang; Yanan Cao 001; Li Guo 001 (ISCTCS, 2014)

Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks. - Wenyu Zang; Chuan Zhou 001; Xiao Wang 001; Li Guo 001 (PDCAT, 2014)

Combining geographical information of users and content of items for accurate rating prediction. - Zhi Qiao 005; Peng Zhang 001; Jing He 004; Yanan Cao 001; Chuan Zhou 001; Li Guo 001 (WWW (Companion Volume), 2014)

An upper bound based greedy algorithm for mining top-k influential nodes in social networks. - Chuan Zhou 001; Peng Zhang 001; Jing Guo; Li Guo 001 (WWW (Companion Volume), 2014)

Maximizing the long-term integral influence in social networks under the voter model. - Chuan Zhou 001; Peng Zhang 001; Wenyu Zang; Li Guo 001 (WWW (Companion Volume), 2014)

Comparative study between incremental and ensemble learning on data streams: Case study. - Wenyu Zang; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (J. Big Data, 2014)

Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Guo Li (CIKM, 2015)

Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation. - Weixue Lu; Peng Zhang 001; Chuan Zhou 001; Chun-Yi Liu 003; Li Gao (IJCAI, 2015)

Efficient Sensor Placement Optimization for Early Detection of Contagious Outbreaks in Mobile Social Networks. - Chuan Zhou 001; Ruisheng Shi; Wenyu Zang; Li Guo 001 (IEEE MS, 2015)

Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data. - Peng Wang 028; Chuan Zhou 001; Peng Zhang 001; Weiwei Feng; Li Guo 001; Binxing Fang (PAKDD (2), 2015)

Fast Search for Distance Dependent Chinese Restaurant Processes. - Weiwei Feng; Peng Wang 028; Chuan Zhou 001; Li Guo 001; Peng Zhang 001 (WWW (Companion Volume), 2015)

Online Event Recommendation for Event-based Social Networks. - Xiancai Ji; Zhi Qiao 005; Mingze Xu; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (WWW (Companion Volume), 2015)

Topic-aware Social Influence Minimization. - Qipeng Yao; Ruisheng Shi; Chuan Zhou 001; Peng Wang 028; Li Guo 001 (WWW (Companion Volume), 2015)

Topic-aware Source Locating in Social Networks. - Wenyu Zang; Chuan Zhou 001; Li Guo 001; Peng Zhang 001 (WWW (Companion Volume), 2015)

Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach. - Wenyu Zang; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (J. Comput. Sci., 2015)

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. - Peng Zhang 001; Chuan Zhou 001; Peng Wang 028; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2015)

On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization. - Chuan Zhou 001; Peng Zhang 001; Wenyu Zang; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2015)

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. - Chuan Zhou 001; Weixue Lu; Peng Zhang 001; Jia Wu 001; Yue Hu 002; Li Guo 001 (AAAI, 2016)

Collaborative Social Group Influence for Event Recommendation. - Li Gao; Jia Wu 001; Zhi Qiao 005; Chuan Zhou 001; Hong Yang 003; Yue Hu 002 (CIKM, 2016)

Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach. - Yao Lu; Zhi Qiao 005; Chuan Zhou 001; Yue Hu 002; Li Guo 001 (CIKM, 2016)

Multiple-Instance Learning with Evolutionary Instance Selection. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Peng Zhang 001; Zhihua Cai (DASFAA (1), 2016)

Semi-Data-Driven Network Coarsening. - Li Gao; Jia Wu 001; Hong Yang 003; Zhi Qiao 005; Chuan Zhou 001; Yue Hu 002 (IJCAI, 2016)

A recursive method for big network influence estimation. - Weixue Lu; Chuan Zhou 001; Jia Wu 001; Chun-Yi Liu 003; Li Gao; Yue Hu 002 (IJCNN, 2016)

Mining subcascade features for cascade outbreak prediction in big networks. - Haishuai Wang; Jia Wu 001; Chuan Zhou 001; Zhenyan Ji; Jun Wu 007 (IJCNN, 2016)

Big social network influence maximization via recursively estimating influence spread. - Weixue Lu; Chuan Zhou 001; Jia Wu 001 (Knowl. Based Syst., 2016)

Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. - Li Gao; Jia Wu 001; Chuan Zhou 001; Yue Hu 002 (AAAI, 2017)

Double-bit quantization and weighting for nearest neighbor search. - Han Deng; Hongtao Xie; Wei Ma; Zhendong Mao 001; Chuan Zhou 001 (ICASSP, 2017)

CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. - Chun-Yi Liu 003; Chuan Zhou 001; Jia Wu 001; Hongtao Xie; Yue Hu 002; Li Guo 001 (IJCNN, 2017)

Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs. - Shun Liu; Hongtao Xie; Chuan Zhou 001; Zhendong Mao 001 (MMM (1), 2017)

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Hong Yang 003 (Data Min. Knowl. Discov., 2017)

Instance cloned extreme learning machine. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Zhihua Cai (Pattern Recognit., 2017)

Social Recommendation with an Essential Preference Space. - Chun-Yi Liu 003; Chuan Zhou 001; Jia Wu 001; Yue Hu 002; Li Guo 001 (AAAI, 2018)

Multi-target Core Network-Based Networked Multi-label Classification. - Lei Li 002; Fang Zhang; Di Ma; Chuan Zhou 001; Xuegang Hu (ICBK, 2018)

Deep Structure Learning for Fraud Detection. - Haibo Wang 004; Chuan Zhou 001; Jia Wu 001; Weizhen Dang; Xingquan Zhu 001; Jilong Wang 001 (ICDM, 2018)

Recommendation with Multi-Source Heterogeneous Information. - Li Gao; Hong Yang 003; Jia Wu 001; Chuan Zhou 001; Weixue Lu; Yue Hu 002 (IJCAI, 2018)

Active Discriminative Network Representation Learning. - Li Gao; Hong Yang 003; Chuan Zhou 001; Jia Wu 001; Shirui Pan; Yue Hu 002 (IJCAI, 2018)

User Alignment via Structural Interaction and Propagation. - Anfeng Cheng; Chun-Yi Liu 003; Chuan Zhou 001; Jianlong Tan; Li Guo 001 (IJCNN, 2018)

iWalk: Interest-Aware Random Walk for Network Embedding. - Wen Zan; Chuan Zhou 001; Hong Yang 003; Yue Hu 002; Li Guo 001 (IJCNN, 2018)

FraudNE: a Joint Embedding Approach for Fraud Detection. - Mengyu Zheng; Chuan Zhou 001; Jia Wu 001; Shirui Pan; Jinqiao Shi; Li Guo 001 (IJCNN, 2018)

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications. - Jia Wu 001; Shirui Pan; Chuan Zhou 001; Gang Li 009; Wu He; Chengqi Zhang (Complex., 2018)

Collective semantic behavior extraction in social networks. - Lei Li 002; Chuan Zhou 001; Jianping He 006; Jiamiao Wang; Xin Li 033; Xindong Wu 001 (J. Comput. Sci., 2018)

Early detection of dynamic harmful cascades in large-scale networks. - Chuan Zhou 001; Weixue Lu; Jingzun Zhang; Lei Li 002; Yue Hu 002; Li Guo 001 (J. Comput. Sci., 2018)

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. - Xixun Lin; Hong Yang 003; Jia Wu 001; Chuan Zhou 001; Bin Wang 004 (ICDM, 2019)

Domain-Adversarial Graph Neural Networks for Text Classification. - Man Wu; Shirui Pan; Xingquan Zhu 001; Chuan Zhou 001; Lei Pan 002 (ICDM, 2019)

Relation Structure-Aware Heterogeneous Graph Neural Network. - Shichao Zhu; Chuan Zhou 001; Shirui Pan; Xingquan Zhu 001; Bin Wang 004 (ICDM, 2019)

Deep Active Learning for Anchor User Prediction. - Anfeng Cheng; Chuan Zhou 001; Hong Yang 003; Jia Wu 001; Lei Li 002; Jianlong Tan; Li Guo 001 (IJCAI, 2019)

Low-Bit Quantization for Attributed Network Representation Learning. - Hong Yang 003; Shirui Pan; Ling Chen 006; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2019)

Deep Structure Learning for Rumor Detection on Twitter. - Qi Huang; Chuan Zhou 001; Jia Wu 001; Mingwen Wang 001; Bin Wang 004 (IJCNN, 2019)

Evolutionary Community Detection in Dynamic Social Networks. - Fanzhen Liu; Jia Wu 001; Chuan Zhou 001; Jian Yang 001 (IJCNN, 2019)

Smooth Deep Network Embedding. - Mengyu Zheng; Chuan Zhou 001; Jia Wu 001; Li Guo 001 (IJCNN, 2019)

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (CoRR, 2019)

Deep trajectory: a deep learning approach for mobile advertising in vehicular networks. - Xin Li 033; Liang Yang; Yi Li; Chuan Zhou 001 (Neural Comput. Appl., 2019)

Multi-View Fusion with Extreme Learning Machine for Clustering. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Zhihua Cai; Jian Yang 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2019)

GSSNN: Graph Smoothing Splines Neural Networks. - Shichao Zhu; Lewei Zhou; Shirui Pan; Chuan Zhou 001; Guiying Yan; Bin Wang 004 (AAAI, 2020)

Exploratory Adversarial Attacks on Graph Neural Networks. - Xixun Lin; Chuan Zhou 001; Hong Yang 003; Jia Wu 001; Haibo Wang 004; Yanan Cao 001; Bin Wang 004 (ICDM, 2020)

Deep Semantic Network Representation. - Xuexiong Luo; Jia Wu 001; Chuan Zhou 001; Xiankun Zhang; Yuan Wang (ICDM, 2020)

AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. - Qi Wang 078; Weiliang Zhao; Jian Yang 001; Jia Wu 001; Chuan Zhou 001; Qianli Xing 002 (ICDM, 2020)

Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (IJCAI, 2020)

Deep Learning for Community Detection: Progress, Challenges and Opportunities. - Fanzhen Liu; Shan Xue 001; Jia Wu 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Jian Yang 001; Philip S. Yu (IJCAI, 2020)

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. - Guojia Wan; Shirui Pan; Chen Gong 002; Chuan Zhou 001; Gholamreza Haffari (IJCAI, 2020)

Discrete Embedding for Latent Networks. - Hong Yang 003; Ling Chen 006; Minglong Lei; Lingfeng Niu; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2020)

Graph Stochastic Neural Networks for Semi-supervised Learning. - Haibo Wang 004; Chuan Zhou 001; Xin Chen; Jia Wu 001; Shirui Pan; Jilong Wang 001 (NeurIPS, 2020)

Graph Geometry Interaction Learning. - Shichao Zhu; Shirui Pan; Chuan Zhou 001; Jia Wu 001; Yanan Cao 001; Bin Wang 004 (NeurIPS, 2020)

Unsupervised Domain Adaptive Graph Convolutional Networks. - Man Wu; Shirui Pan; Chuan Zhou 001; Xiaojun Chang; Xingquan Zhu 001 (WWW, 2020)

Weighted partial order oriented three-way decisions under score-based common voting rules. - Lei Li 002; Xindong Wu 001; Huanhuan Chen; Chuan Zhou 001; Guanfeng Liu 001; Yongkang Jiang (Int. J. Approx. Reason., 2020)

Detecting the evolving community structure in dynamic social networks. - Fanzhen Liu; Jia Wu 001; Shan Xue 001; Chuan Zhou 001; Jian Yang 001; Quanzheng Sheng (World Wide Web, 2020)

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. - Haishuai Wang; Zhao Li 007; Xuanwu Liu; Donghui Ding; Zehong Hu; Peng Zhang 001; Chuan Zhou 001; Jiajun Bu (CIKM, 2021)

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. - He Zhang 012; Bang Wu; Xiangwen Yang; Chuan Zhou 001; Shuo Wang 012; Xingliang Yuan; Shirui Pan (CIKM, 2021)

Heterogeneous Graph Neural Architecture Search. - Yang Gao 024; Peng Zhang 001; Zhao Li 007; Chuan Zhou 001; Yongchao Liu; Yue Hu 002 (ICDM, 2021)

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. - Xixun Lin; Jiangxia Cao; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Jia Wu 001; Bin Wang 004 (ICDM, 2021)

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Amin Beheshti; Shan Xue 001; Chuan Zhou 001; Quan Z. Sheng (ICDM, 2021)

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. - Ming Jin 005; Yizhen Zheng; Yuan-Fang Li; Chen Gong 002; Chuan Zhou 001; Shirui Pan (IJCAI, 2021)

A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources. - Yongxiu Xu; Heyan Huang; Chong Feng 001; Chuan Zhou 001; Jiarui Zhang; Yue Hu 002 (IJCNN, 2021)

Task-adaptive Neural Process for User Cold-Start Recommendation. - Xixun Lin; Jia Wu 001; Chuan Zhou 001; Shirui Pan; Yanan Cao 001; Bin Wang 004 (WWW, 2021)

Graph Self-Supervised Learning: A Survey. - Yixin Liu 001; Shirui Pan; Ming Jin 005; Chuan Zhou 001; Feng Xia 001; Philip S. Yu (CoRR, 2021)

Semi-Riemannian Graph Convolutional Networks. - Bo Xiong; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (CoRR, 2021)

Learning graph attention-aware knowledge graph embedding. - Chen Li 046; Xutan Peng; Yuhang Niu; Shanghang Zhang; Hao Peng 001; Chuan Zhou 001; Jianxin Li 002 (Neurocomputing, 2021)

Towards embedding information diffusion data for understanding big dynamic networks. - Hong Yang 003; Peng Zhang 001; Haishuai Wang; Chuan Zhou 001; Zhao Li 007; Li Gao; Qingfeng Tan (Neurocomputing, 2021)

One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. - Miao Zhang; Huiqi Li; Shirui Pan; Xiaojun Chang; Chuan Zhou 001; Zongyuan Ge; Steven Weidong Su (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Wlinker: Modeling Relational Triplet Extraction As Word Linking. - Yongxiu Xu; Chuan Zhou 001; Heyan Huang; Jing Yu 007; Yue Hu 002 (ICASSP, 2022)

DAGAD: Data Augmentation for Graph Anomaly Detection. - Fanzhen Liu; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu C. Aggarwal (ICDM, 2022)

Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. - Xin Zheng 008; Miao Zhang; Chunyang Chen 001; Chaojie Li; Chuan Zhou 001; Shirui Pan (ICDM, 2022)

Task-level Relations Modelling for Graph Meta-learning. - Yuchen Zhou; Yanan Cao 001; Yanmin Shang; Chuan Zhou 001; Chuancheng Song; Fengzhao Shi; Qian Li 003 (ICDM, 2022)

Ultrahyperbolic Knowledge Graph Embeddings. - Bo Xiong; Shichao Zhu; Mojtaba Nayyeri; Chengjin Xu; Shirui Pan; Chuan Zhou 001; Steffen Staab (KDD, 2022)

Pseudo-Riemannian Graph Convolutional Networks. - Bo Xiong; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (NeurIPS, 2022)

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. - Ge Zhang 002; Zhenyu Yang 004; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Peng 001; Jianlin Su; Chuan Zhou 001; Quan Z. Sheng; Leman Akoglu; Charu C. Aggarwal (NeurIPS, 2022)

Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. - Weizhen Dang; Haibo Wang 004; Shirui Pan; Pei Zhang 003; Chuan Zhou 001; Xin Chen; Jilong Wang 001 (WSDM, 2022)

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. - Fengzhao Shi; Yanan Cao 001; Yanmin Shang; Yuchen Zhou; Chuan Zhou 001; Jia Wu 001 (WWW, 2022)

Graph-level Neural Networks: Current Progress and Future Directions. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Wenbin Hu 001; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu Aggarwal 001 (CoRR, 2022)

Geometry Contrastive Learning on Heterogeneous Graphs. - Shichao Zhu; Chuan Zhou 001; Anfeng Cheng; Shirui Pan; Shuaiqiang Wang; Dawei Yin; Bin Wang 004 (CoRR, 2022)

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. - Fengzhao Shi; Ren Li; Yanan Cao 001; Yanmin Shang; Lanxue Zhang; Chuan Zhou 001; Jia Wu 001; Shirui Pan (CoRR, 2022)

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. - Yixin Liu 001; Zhao Li 007; Shirui Pan; Chen Gong 002; Chuan Zhou 001; George Karypis (IEEE Trans. Neural Networks Learn. Syst., 2022)

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. - Ge Zhang 002; Zhao Li 007; Jiaming Huang; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Jianliang Gao (ACM Trans. Inf. Syst., 2022)

API-GNN: attribute preserving oriented interactive graph neural network. - Yuchen Zhou; Yanmin Shang; Yanan Cao 001; Qian Li 003; Chuan Zhou 001; Guandong Xu (World Wide Web, 2022)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Jiawei Sheng; Chuan Zhou 001; Tingwen Liu (IEEE Big Data, 2023)

Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. - Li Zheng; Zhao Li 007; Jun Gao 003; Zhenpeng Li; Jia Wu 001; Chuan Zhou 001 (ECIR (2), 2023)

Decision-focused Graph Neural Networks for Graph Learning and Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Xiaoou Zhang; Zhao Li 007; Hongyang Chen (ICDM, 2023)

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. - Shuai Zhang; Chuan Zhou 001; Peng Zhang 001; Yang Liu 320; Zhao Li 007; Hongyang Chen (ICDM, 2023)

GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. - Xin Zheng 008; Miao Zhang; Chunyang Chen 001; Soheila Molaei; Chuan Zhou 001; Shirui Pan (NeurIPS, 2023)

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. - Yang Liu 320; Chuan Zhou 001; Shirui Pan; Jia Wu 001; Zhao Li 007; Hongyang Chen; Peng Zhang 001 (WWW, 2023)

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. - Xin Zheng 008; Miao Zhang; Chunyang Chen 001; Qin Zhang 011; Chuan Zhou 001; Shirui Pan (WWW, 2023)

A Comprehensive Survey of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu C. Aggarwal; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (CoRR, 2023)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Tingwen Liu; Chuan Zhou 001 (CoRR, 2023)

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. - Xixun Lin; Chuan Zhou 001; Jia Wu 001; Hong Yang 003; Haibo Wang 004; Yanan Cao 001; Bin Wang 004 (Pattern Recognit., 2023)

Online Active Learning for Drifting Data Streams. - Sanmin Liu; Shan Xue 001; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Zhao Li 007; Jie Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep spatial-temporal structure learning for rumor detection on Twitter. - Qi Huang; Chuan Zhou 001; Jia Wu 001; Luchen Liu; Bin Wang 004 (Neural Comput. Appl., 2023)

Graph Self-Supervised Learning: A Survey. - Yixin Liu 001; Ming Jin 005; Shirui Pan; Chuan Zhou 001; Yu Zheng 013; Feng Xia 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

GraphNAS++: Distributed Architecture Search for Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Hong Yang 003; Chuan Zhou 001; Yue Hu 002; Zhihong Tian; Zhao Li 007; Jingren Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

Projective Ranking-Based GNN Evasion Attacks. - He Zhang 012; Xingliang Yuan; Chuan Zhou 001; Shirui Pan (IEEE Trans. Knowl. Data Eng., 2023)

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Chuan Zhou 001; Hong Yang 003; Zhao Li 007; Yue Hu 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. - Yuchen Zhou; Yanan Cao 001; Yanmin Shang; Chuan Zhou 001; Shirui Pan; Zheng Lin 001; Qian Li 003 (ACM Trans. Inf. Syst., 2023)

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. - Xiaoxiao Ma 002; Jia Wu 001; Shan Xue 001; Jian Yang 001; Chuan Zhou 001; Quan Z. Sheng; Hui Xiong 001; Leman Akoglu (IEEE Trans. Knowl. Data Eng., 2023)

Federated Spectral Graph Neural Networks. - Jiaqi Yu; Hong Yang 003; Chuan Zhou 001; Peng Zhang 001; Zhihong Tian (BESC, 2024)

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Peng Zhang 001; Chuan Zhou 001; Qingyun Liu 001; Hongyang Chen (ICASSP, 2024)

CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Zhao Li 007; Shuai Zhang; Xixun Lin; Xindong Wu 001 (ICDM, 2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. - Xixun Lin; Wenxiao Zhang; Fengzhao Shi; Chuan Zhou 001; Lixin Zou; Xiangyu Zhao 001; Dawei Yin; Shirui Pan; Yanan Cao 001 (ICML, 2024)

Neural Jump-Diffusion Temporal Point Processes. - Shuai Zhang; Chuan Zhou 001; Yang Aron Liu; Peng Zhang 001; Xixun Lin; Zhi-Ming Ma (ICML, 2024)

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. - Zhao Li 007; Yang Liu 320; Chuan Zhou 001; Xuanwu Liu; Xuming Pan; Buqing Cao; Xindong Wu 001 (ICWS, 2024)

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. - Yang Liu 320; Chuan Zhou 001; Huang Fang; Peng Zhang 001; Yiling Pang; Qingzhao Zhang; Zhao Li 007; Hongyang Chen (ICWS, 2024)

Combinatorial Optimization with Automated Graph Neural Networks. - Yang Liu 320; Peng Zhang 001; Yang Gao 024; Chuan Zhou 001; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Decision-focused Graph Neural Networks for Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shirui Pan; Zhao Li 007; Hongyang Chen (CoRR, 2024)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Yanan Cao 001; Yongchao Liu; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression. - Zhen Liu 006; Wenbo Zuo; Dongning Zhang; Chuan Zhou 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. - Xixun Lin; Chuan Zhou 001; Jia Wu 001; Lixin Zou; Shirui Pan; Yanan Cao 001; Bin Wang 004; Shuaiqiang Wang; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2024)

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. - Xixun Lin; Zhao Li 007; Peng Zhang 001; Luchen Liu; Chuan Zhou 001; Bin Wang 004; Zhihong Tian (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Comprehensive Survey on Community Detection With Deep Learning. - Xing Su 006; Shan Xue 001; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Di Jin 001; Quan Z. Sheng; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. - Fengzhao Shi; Yanan Cao 001; Ren Li; Xixun Lin; Yanmin Shang; Chuan Zhou 001; Jia Wu 001; Shirui Pan (World Wide Web (WWW), 2024)

Code for Pseudo-Riemannian Graph Convolutional Networks. - Bo Xiong; Shichao Zhu; Nico Potyka; Shirui Pan; Chuan Zhou 001; Steffen Staab (DaRUS, 2024)

Dynamic Graph Representation Learning via Coupling-Process Model. - Pingtao Duan; Chuan Zhou 001; Yuting Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily. - Changqin Huang; Yi Wang 022; Yunliang Jiang; Ming Li 065; Xiaodi Huang; Shijin Wang; Shirui Pan; Chuan Zhou 001 (IEEE Trans. Cybern., 2024)

Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. - Haibo Wang 004; Chuan Zhou 001; Xin Chen; Jia Wu 001; Shirui Pan; Zhao Li 007; Jilong Wang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. - Xuexiong Luo; Sheng Zhang 006; Jia Wu 001; Hongyang Chen; Hao Peng 001; Chuan Zhou 001; Zhao Li 007; Shan Xue 001; Jian Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Node-Centric Meta Structure Search in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Chuan Zhou 001; Peng Zhang 001; Yong Ding; Qingyun Liu 001; Hongyang Chen (ICASSP, 2025)

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. - Xixun Lin; Yanan Cao 001; Nan Sun; Lixin Zou; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Ge Zhang 002; Jia Wu 001 (WWW, 2025)

Graph Wave Networks. - Juwei Yue; Haikuo Li; Jiawei Sheng; Yihan Guo; Xinghua Zhang 001; Chuan Zhou 001; Tingwen Liu; Li Guo 001 (WWW, 2025)

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin (Neural Networks, 2025)

Equivariant Hypergraph Diffusion for Crystal Structure Prediction. - Yang Liu 320; Chuan Zhou 001; Shuai Zhang; Peng Zhang 001; Xixun Lin; Shirui Pan (CoRR, 2025)

A data-centric framework of improving graph neural networks for knowledge graph embedding. - Yanan Cao 001; Xixun Lin; Yongxuan Wu; Fengzhao Shi; Yanmin Shang; Qingfeng Tan; Chuan Zhou 001; Peng Zhang 001 (World Wide Web (WWW), 2025)

State of the Art and Potentialities of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu Aggarwal 001; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (ACM Comput. Surv., 2025)

RHGNN: imposing relational inductive bias for heterogeneous graph neural network. - Shichao Zhu; Shuai Zhang; Yang Liu 320; Chuan Zhou 001; Shirui Pan; Zhao Li 007; Hongyang Chen (Int. J. Mach. Learn. Cybern., 2025)

Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration. - Xuexiong Luo; Jia Wu 001; Jian Yang 001; Hongyang Chen; Zhao Li 007; Hao Peng 001; Chuan Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)