Nonlinear modeling of the internet delay structure. - Xiao Wang 017; Yang Chen 001; Beixing Deng; Xing Li 001 (CoNEXT, 2008)

Phoenix: Towards an Accurate, Practical and Decentralized Network Coordinate System. - Yang Chen 001; Xiao Wang 017; Xiaoxiao Song; Eng Keong Lua; Cong Shi; Xiaohan Zhao; Beixing Deng; Xing Li 001 (Networking, 2009)

Phoenix: A Weight-Based Network Coordinate System Using Matrix Factorization. - Yang Chen 001; Xiao Wang 017; Cong Shi; Eng Keong Lua; Xiaoming Fu 001; Beixing Deng; Xing Li 001 (IEEE Trans. Netw. Serv. Manag., 2011)

The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF. - Xiaochun Cao; Xiao Wang 017; Di Jin 001; Yixin Cao 001; Dongxiao He (WWW (Companion Volume), 2014)

Robust semi-supervised nonnegative matrix factorization. - Jing Wang 023; Feng Tian 006; Chang Hong Liu; Xiao Wang 017 (IJCNN, 2015)

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. - Liang Yang 002; Xiaochun Cao; Di Jin 001; Xiao Wang 017; Dan Meng 002 (IEEE Trans. Cybern., 2015)

Semantic Community Identification in Large Attribute Networks. - Xiao Wang 017; Di Jin 001; Xiaochun Cao; Liang Yang 002; Weixiong Zhang (AAAI, 2016)

Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization. - Jing Wang 023; Xiao Wang 017; Feng Tian 006; Chang Hong Liu; Hongchuan Yu; Yanbei Liu (ICONIP (2), 2016)

Modularity Based Community Detection with Deep Learning. - Liang Yang 002; Xiaochun Cao; Dongxiao He; Chuan Wang 002; Xiao Wang 017; Weixiong Zhang (IJCAI, 2016)

Community Preserving Network Embedding. - Xiao Wang 017; Peng Cui 001; Jing Wang 023; Jian Pei 001; Wenwu Zhu 001; Shiqiang Yang (AAAI, 2017)

Multi-Component Nonnegative Matrix Factorization. - Jing Wang 023; Feng Tian 006; Xiao Wang 017; Hongchuan Yu; Chang Hong Liu; Liang Yang 002 (IJCAI, 2017)

Robust nonnegative matrix factorization with ordered structure constraints. - Jing Wang 023; Feng Tian 006; Chang Hong Liu; Hongchuan Yu; Xiao Wang 017; Xianchao Tang (IJCNN, 2017)

Unsupervised feature selection via Diversity-induced Self-representation. - Yanbei Liu; Kaihua Liu; Changqing Zhang; Jing Wang 023; Xiao Wang 017 (Neurocomputing, 2017)

Learning community structures: Global and local perspectives. - Xianchao Tang; Tao Xu; Xia Feng; Guoqing Yang; Jing Wang 023; Qiannan Li; Yanbei Liu; Xiao Wang 017 (Neurocomputing, 2017)

Constrained Low-Rank Representation for Robust Subspace Clustering. - Jing Wang 023; Xiao Wang 017; Feng Tian 006; Chang Hong Liu; Hongchuan Yu (IEEE Trans. Cybern., 2017)

Structural Deep Embedding for Hyper-Networks. - Ke Tu; Peng Cui 001; Xiao Wang 017; Fei Wang 001; Wenwu Zhu 001 (AAAI, 2018)

TIMERS: Error-Bounded SVD Restart on Dynamic Networks. - Ziwei Zhang 001; Peng Cui 001; Jian Pei 001; Xiao Wang 017; Wenwu Zhu 001 (AAAI, 2018)

Abnormal Event Detection via Heterogeneous Information Network Embedding. - Shaohua Fan; Chuan Shi 001; Xiao Wang 017 (CIKM, 2018)

Billion-Scale Network Embedding with Iterative Random Projection. - Ziwei Zhang 001; Peng Cui 001; Haoyang Li 001; Xiao Wang 017; Wenwu Zhu 001 (ICDM, 2018)

Edge Content Enhanced Network Embedding. - Hongcui Wang; Erwei Wang; Di Jin 001; Xiao Wang 017; Jing Wang 023; Dongxiao He (ICTAI, 2018)

Ranking Preserving Nonnegative Matrix Factorization. - Jing Wang 023; Feng Tian 006; Weiwei Liu 003; Xiao Wang 017; Wenjie Zhang 001; Kenji Yamanishi (IJCAI, 2018)

Power-law Distribution Aware Trust Prediction. - Xiao Wang 017; Ziwei Zhang 001; Jing Wang 023; Peng Cui 001; Shiqiang Yang (IJCAI, 2018)

Hierarchical Taxonomy Aware Network Embedding. - Jianxin Ma; Peng Cui 001; Xiao Wang 017; Wenwu Zhu 001 (KDD, 2018)

Deep Recursive Network Embedding with Regular Equivalence. - Ke Tu; Peng Cui 001; Xiao Wang 017; Philip S. Yu; Wenwu Zhu 001 (KDD, 2018)

Arbitrary-Order Proximity Preserved Network Embedding. - Ziwei Zhang 001; Peng Cui 001; Xiao Wang 017; Jian Pei 001; Xuanrong Yao; Wenwu Zhu 001 (KDD, 2018)

Entropy-based active sparse subspace clustering. - Yanbei Liu; Kaihua Liu; Changqing Zhang; Xiao Wang 017; Shaona Wang; Zhitao Xiao (Multim. Tools Appl., 2018)

Diverse Non-Negative Matrix Factorization for Multiview Data Representation. - Jing Wang 023; Feng Tian 006; Hongchuan Yu; Chang Hong Liu; Kun Zhan; Xiao Wang 017 (IEEE Trans. Cybern., 2018)

Hyperbolic Heterogeneous Information Network Embedding. - Xiao Wang 017; Yiding Zhang; Chuan Shi 001 (AAAI, 2019)

Temporal Network Embedding with Micro- and Macro-dynamics. - Yuanfu Lu; Xiao Wang 017; Chuan Shi 001; Philip S. Yu; Yanfang Ye 001 (CIKM, 2019)

Heterogeneous Graph Attention Network. - Xiao Wang 017; Houye Ji; Chuan Shi 001; Bai Wang 001; Yanfang Ye 001; Peng Cui 001; Philip S. Yu (WWW, 2019)

A Survey on Network Embedding. - Peng Cui 001; Xiao Wang 017; Jian Pei 001; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Independence Promoted Graph Disentangled Networks. - Yanbei Liu; Xiao Wang 017; Shu Wu; Zhitao Xiao (AAAI, 2020)

Multi-Component Graph Convolutional Collaborative Filtering. - Xiao Wang 017; Ruijia Wang; Chuan Shi 001; Guojie Song; Qingyong Li (AAAI, 2020)

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. - Mengmei Zhang; Linmei Hu; Chuan Shi 001; Xiao Wang 017 (ICDM, 2020)

Motif-Preserving Temporal Network Embedding. - Hong Huang 001; Zixuan Fang; Xiao Wang 017; Youshan Miao; Hai Jin 001 (IJCAI, 2020)

Decorrelated Clustering with Data Selection Bias. - Xiao Wang 017; Shaohua Fan; Kun Kuang; Chuan Shi 001; Jiawei Liu 006; Bai Wang 001 (IJCAI, 2020)

Network Schema Preserving Heterogeneous Information Network Embedding. - Jianan Zhao 002; Xiao Wang 017; Chuan Shi 001; Zekuan Liu; Yanfang Ye 001 (IJCAI, 2020)

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. - Xiao Wang 017; Meiqi Zhu; Deyu Bo; Peng Cui 001; Chuan Shi 001; Jian Pei 001 (KDD, 2020)

Structural Deep Clustering Network. - Deyu Bo; Xiao Wang 017; Chuan Shi 001; Meiqi Zhu; Emiao Lu; Peng Cui 001 (WWW, 2020)

One2Multi Graph Autoencoder for Multi-view Graph Clustering. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Emiao Lu; Ken Lin; Bai Wang 001 (WWW, 2020)

Heterogeneous Graph Neural Network for Recommendation. - Jinghan Shi; Houye Ji; Chuan Shi 001; Xiao Wang 017; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2020)

Community enhanced graph convolutional networks. - Yanbei Liu; Qi Wang 040; Xiao Wang 017; Fang Zhang 001; Lei Geng; Jun Wu 014; Zhitao Xiao (Pattern Recognit. Lett., 2020)

Beyond Low-frequency Information in Graph Convolutional Networks. - Deyu Bo; Xiao Wang 017; Chuan Shi 001; Huawei Shen (AAAI, 2021)

Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. - Houye Ji; Junxiong Zhu; Xiao Wang 017; Chuan Shi 001; Bai Wang 001; Xiaoye Tan; Yanghua Li; Shaojian He (AAAI, 2021)

Heterogeneous Graph Structure Learning for Graph Neural Networks. - Jianan Zhao 002; Xiao Wang 017; Chuan Shi 001; Binbin Hu; Guojie Song; Yanfang Ye 001 (AAAI, 2021)

Updated Paired Regions for Shadow Detection from Single Image. - Xiao Wang 017; Siyuan Yao; Pengwen Dai; Rui Wang 032; Xiaochun Cao (BMVC, 2021)

Prohibited Item Detection on Heterogeneous Risk Graphs. - Yugang Ji; Chuan Shi 001; Xiao Wang 017 (CIKM, 2021)

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. - Zhizhi Yu; Di Jin 001; Ziyang Liu 004; Dongxiao He; Xiao Wang 017; Hanghang Tong; Jiawei Han 001 (ICDM, 2021)

CuCo: Graph Representation with Curriculum Contrastive Learning. - Guanyi Chu; Xiao Wang 017; Chuan Shi 001; Xunqiang Jiang (IJCAI, 2021)

Temporal Heterogeneous Information Network Embedding. - Hong Huang 001; Ruize Shi; Wei Zhou; Xiao Wang 017; Hai Jin 001; Xiaoming Fu 001 (IJCAI, 2021)

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. - Xiao Wang 017; Nian Liu; Hui Han; Chuan Shi 001 (KDD, 2021)

Universal Graph Convolutional Networks. - Di Jin 001; Zhizhi Yu; Cuiying Huo; Rui Wang 102; Xiao Wang 017; Dongxiao He; Jiawei Han 001 (NeurIPS, 2021)

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. - Xiao Wang 017; Hongrui Liu; Chuan Shi 001; Cheng Yang 002 (NeurIPS, 2021)

Large-scale Comb-K Recommendation. - Houye Ji; Junxiong Zhu; Chuan Shi 001; Xiao Wang 017; Bai Wang 001; Chaoyu Zhang; Zixuan Zhu; Feng Zhang; Yanghua Li (WWW, 2021)

Graph Structure Estimation Neural Networks. - Ruijia Wang; Shuai Mou; Xiao Wang 017; Wanpeng Xiao; Qi Ju 002; Chuan Shi 001; Xing Xie 001 (WWW, 2021)

Lorentzian Graph Convolutional Networks. - Yiding Zhang; Xiao Wang 017; Chuan Shi 001; Nian Liu; Guojie Song (WWW, 2021)

Interpreting and Unifying Graph Neural Networks with An Optimization Framework. - Meiqi Zhu; Xiao Wang 017; Chuan Shi 001; Houye Ji; Peng Cui 001 (WWW, 2021)

Learning Deep Lucas-Kanade Siamese Network for Visual Tracking. - Siyuan Yao; Xiaoguang Han 001; Hua Zhang 008; Xiao Wang 017; Xiaochun Cao (IEEE Trans. Image Process., 2021)

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. - Chuan Shi 001; Xiaotian Han; Li Song; Xiao Wang 017; Senzhang Wang; Junping Du 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2021)

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. - Deyu Bo; Binbin Hu; Xiao Wang 017; Zhiqiang Zhang 012; Chuan Shi 001; Jun Zhou 011 (AAAI, 2022)

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. - Mengmei Zhang; Xiao Wang 017; Meiqi Zhu; Chuan Shi 001; Zhiqiang Zhang 012; Jun Zhou 011 (AAAI, 2022)

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. - Hui Han; Tianyu Zhao; Cheng Yang 002; Hongyi Zhang; Yaoqi Liu; Xiao Wang 017; Chuan Shi 001 (CIKM, 2022)

Self-supervised Graph Neural Networks for Multi-behavior Recommendation. - Shuyun Gu; Xiao Wang 017; Chuan Shi 001; Ding Xiao (IJCAI, 2022)

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. - Shaohua Fan; Xiao Wang 017; Yanhu Mo; Chuan Shi 001; Jian Tang 005 (NeurIPS, 2022)

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. - Nian Liu; Xiao Wang 017; Deyu Bo; Chuan Shi 001; Jian Pei 001 (NeurIPS, 2022)

Uncovering the Structural Fairness in Graph Contrastive Learning. - Ruijia Wang; Xiao Wang 017; Chuan Shi 001; Le Song (NeurIPS, 2022)

Geometric Disentangled Collaborative Filtering. - Yiding Zhang; Chaozhuo Li; Xing Xie 001; Xiao Wang 017; Chuan Shi 001; Yuming Liu; Hao Sun 015; Liangjie Zhang; Weiwei Deng; Qi Zhang 066 (SIGIR, 2022)

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. - Tianyu Zhao; Cheng Yang 002; Yibo Li; Quan Gan; Zhenyi Wang; Fengqi Liang; Huan Zhao 002; Yingxia Shao; Xiao Wang 017; Chuan Shi 001 (SIGIR, 2022)

Prohibited Item Detection via Risk Graph Structure Learning. - Yugang Ji; Guanyi Chu; Xiao Wang 017; Chuan Shi 001; Jianan Zhao 002; Junping Du 001 (WWW, 2022)

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. - Hongrui Liu; Binbin Hu; Xiao Wang 017; Chuan Shi 001; Zhiqiang Zhang 012; Jun Zhou 011 (WWW, 2022)

Compact Graph Structure Learning via Mutual Information Compression. - Nian Liu; Xiao Wang 017; Lingfei Wu 001; Yu Chen 022; Xiaojie Guo 002; Chuan Shi 001 (WWW, 2022)

Binarized network embedding with community structural information. - Yanbei Liu; Jinxin Liu; Zhongqiang Wang; Xiao Wang 017; Fang Zhang 001; Zhitao Xiao (Inf. Sci., 2022)

Hyperbolic Graph Attention Network. - Yiding Zhang; Xiao Wang 017; Chuan Shi 001; Xunqiang Jiang; Yanfang Ye 001 (IEEE Trans. Big Data, 2022)

Embedding Heterogeneous Information Network in Hyperbolic Spaces. - Yiding Zhang; Xiao Wang 017; Nian Liu; Chuan Shi 001 (ACM Trans. Knowl. Discov. Data, 2022)

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. - Xiao Wang 017; Yuanfu Lu; Chuan Shi 001; Ruijia Wang; Peng Cui 001; Shuai Mou (IEEE Trans. Knowl. Data Eng., 2022)

Heterogeneous Graph Representation Learning and Applications - Chuan Shi 001; Xiao Wang 017; Philip S. Yu (Springer, 2022)

Directed Acyclic Graph Structure Learning from Dynamic Graphs. - Shaohua Fan; Shuyang Zhang; Xiao Wang 017; Chuan Shi 001 (AAAI, 2023)

Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph. - Ao Li; Yugang Ji; Guanyi Chu; Xiao Wang 017; Dong Li; Chuan Shi 001 (ICASSP, 2023)

A Semi-Supervised Graph Neural Network with Confidence Discrimination. - Lu Yu; Wen Wang 013; Yanbei Liu; Xiao Wang 017; Jun Wu 014 (ICCPR, 2023)

Multi-Scale Subgraph Contrastive Learning. - Yanbei Liu; Yu Zhao; Xiao Wang 017; Lei Geng; Zhitao Xiao (IJCAI, 2023)

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization. - Donglin Xia; Xiao Wang 017; Nian Liu; Chuan Shi 001 (NeurIPS, 2023)

Provable Training for Graph Contrastive Learning. - Yue Yu 007; Xiao Wang 017; Mengmei Zhang; Nian Liu; Chuan Shi 001 (NeurIPS, 2023)

Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network. - Shuyun Gu; Xiao Wang 017; Chuan Shi 001 (ECML/PKDD (2), 2023)

Minimum Topology Attacks for Graph Neural Networks. - Mengmei Zhang; Xiao Wang 017; Chuan Shi 001; Lingjuan Lyu; Tianchi Yang; Junping Du 001 (WWW, 2023)

A Survey on Spectral Graph Neural Networks. - Deyu Bo; Xiao Wang 017; Yang Liu 348; Yuan Fang 001; Yawen Li 001; Chuan Shi 001 (CoRR, 2023)

A Summary of ICDE 2022 Research Session Panels. - Zhifeng Bao; Panagiotis Bouros; Reynold Cheng; Byron Choi; Anton Dignös; Wei Ding 003; Yixiang Fang; Boyang Han; Jilin Hu; Arijit Khan 001; Wenqing Lin; Xuemin Lin 001; et al. (IEEE Data Eng. Bull., 2023)

Heterogeneous Graph Propagation Network. - Houye Ji; Xiao Wang 017; Chuan Shi 001; Bai Wang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Heterogeneous Information Network Embedding With Adversarial Disentangler. - Ruijia Wang; Chuan Shi 001; Tianyu Zhao; Xiao Wang 017; Yanfang Ye 001 (IEEE Trans. Knowl. Data Eng., 2023)

Advances in Graph Neural Networks - Chuan Shi 001; Xiao Wang 017; Cheng Yang 002 (Springer, 2023)

Embedding text-rich graph neural networks with sequence and topical semantic structures. - Zhizhi Yu; Di Jin 001; Ziyang Liu 004; Dongxiao He; Xiao Wang 017; Hanghang Tong; Jiawei Han 001 (Knowl. Inf. Syst., 2023)

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. - Xiao Wang 017; Deyu Bo; Chuan Shi 001; Shaohua Fan; Yanfang Ye 001; Philip S. Yu (IEEE Trans. Big Data, 2023)

Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification. - Yanbei Liu; Shichuan Zhao; Xiao Wang 017; Lei Geng; Zhitao Xiao; Jerry Chun-Wei Lin (IEEE Trans. Big Data, 2023)

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. - Nian Liu; Xiao Wang 017; Hui Han; Chuan Shi 001 (IEEE Trans. Knowl. Data Eng., 2023)

Temporal Heterogeneous Information Network Embedding via Semantic Evolution. - Wei Zhou; Hong Huang 001; Ruize Shi; Xiran Song; Xue Lin 005; Xiao Wang 017; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

Towards Adaptive Information Fusion in Graph Convolutional Networks. - Meiqi Zhu; Xiao Wang 017; Chuan Shi 001; Yibo Li; Junping Du 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Generalized Neural Diffusion Framework on Graphs. - Yibo Li; Xiao Wang 017; Hongrui Liu; Chuan Shi 001 (AAAI, 2024)

Graph Contrastive Invariant Learning from the Causal Perspective. - Yanhu Mo; Xiao Wang 017; Shaohua Fan; Chuan Shi 001 (AAAI, 2024)

Less is More: on the Over-Globalizing Problem in Graph Transformers. - Yujie Xing; Xiao Wang 017; Yibo Li; Hai Huang; Chuan Shi 001 (ICML, 2024)

Graph Fairness Learning under Distribution Shifts. - Yibo Li; Xiao Wang 017; Yujie Xing; Shaohua Fan; Ruijia Wang; Yaoqi Liu; Chuan Shi 001 (WWW, 2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation? - Yuling Wang; Changxin Tian; Binbin Hu; Yanhua Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Liang Pang; Xiao Wang 017 (WWW, 2024)

Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection. - Siyuan Yao; Hao Sun 019; Tian-Zhu Xiang; Xiao Wang 017; Xiaochun Cao (IEEE Trans. Image Process., 2024)

Generalizing Graph Neural Networks on Out-of-Distribution Graphs. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Peng Cui 001; Bai Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Cross-scale contrastive triplet networks for graph representation learning. - Yanbei Liu; Wanjin Shan; Xiao Wang 017; Zhitao Xiao; Lei Geng; Fang Zhang 001; Dongdong Du; Yanwei Pang (Pattern Recognit., 2024)

Debiased Graph Neural Networks With Agnostic Label Selection Bias. - Shaohua Fan; Xiao Wang 017; Chuan Shi 001; Kun Kuang; Nian Liu; Bai Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation. - Yanbei Liu; Lianxi Fan; Xiao Wang 017; Zhitao Xiao; Shuai Ma 001; Yanwei Pang; Jerry Chun-Wei Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unifying Graph Neural Networks with a Generalized Optimization Framework. - Chuan Shi 001; Meiqi Zhu; Yue Yu 007; Xiao Wang 017; Junping Du 001 (ACM Trans. Inf. Syst., 2024)

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. - Zhongjian Zhang; Mengmei Zhang; Xiao Wang 017; Lingjuan Lyu; Bo Yan 005; Junping Du 001; Chuan Shi 001 (AAAI, 2025)

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? - Zhongjian Zhang; Xiao Wang 017; Huichi Zhou; Yue Yu 007; Mengmei Zhang; Cheng Yang 002; Chuan Shi 001 (KDD (1), 2025)

Multi-information Fusion Graph Convolutional Network for cancer driver gene identification. - Die Hu; Yanbei Liu; Xiao Wang 017; Lei Geng; Fang Zhang 001; Zhitao Xiao; Jerry Chun-Wei Lin (Pattern Recognit., 2025)

CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. - Pengfei Zhu 001; Jialu Li; Zhe Dong; Qinghua Hu; Xiao Wang 017; Qilong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport. - Yanbei Liu; Chongxu Wang; Zhitao Xiao; Lei Geng; Yanwei Pang; Xiao Wang 017 (CoRR, 2025)

Graph Neural Networks With Adaptive Confidence Discrimination. - Yanbei Liu; Lu Yu; Shichuan Zhao; Xiao Wang 017; Lei Geng; Zhitao Xiao; Shuai Ma 001; Yanwei Pang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multiscale Subgraph Adversarial Contrastive Learning. - Yanbei Liu; Yu Zhao; Zhitao Xiao; Lei Geng; Xiao Wang 017; Yanwei Pang; Jerry Chun-Wei Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)