Chuan Shi

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 279

Top Venues

Publications

Chuan Shi, Junze Chen, Jiawei Liu, Cheng Yang
Graph foundation model. Frontiers Comput. Sci. 18 (6) (2024)
Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi
Advancing Molecule Invariant Representation via Privileged Substructure Identification. KDD (2024)
Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. AAAI (2024)
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
Graph Fairness Learning under Distribution Shifts. WWW (2024)
Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi
A Generalized Neural Diffusion Framework on Graphs. AAAI (2024)
Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks. CoRR (2024)
Wenchuan Yang, Cheng Yang, Jichao Li, Yuejin Tan, Xin Lu, Chuan Shi
Non-autoregressive Personalized Bundle Generation. CoRR (2024)
Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. WWW (2024)
Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang
Distance Information Improves Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi
Less is More: on the Over-Globalizing Problem in Graph Transformers. CoRR (2024)
Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization. AAAI (2024)
Yangbin Chen, Chenyang Xu, Chunfeng Liang, Yanbao Tao, Chuan Shi
Speech-based Clinical Depression Screening: An Empirical Study. CoRR (2024)
Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang
Group-to-group recommendation with neural graph matching. World Wide Web (WWW) 27 (2) (2024)
Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou
Calibrating Graph Neural Networks from a Data-centric Perspective. WWW (2024)
Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
Graph Fairness Learning under Distribution Shifts. CoRR (2024)
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences. CoRR (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-of-Distribution Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
Graph Mining for Cybersecurity: A Survey. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Fengqi Liang, Huan Zhao, Yuhan Quan, Wei Fang, Chuan Shi
Customizing Graph Neural Network for CAD Assembly Recommendation. KDD (2024)
Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi
Learning Social Graph for Inactive User Recommendation. CoRR (2024)
Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) (2024)
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
Graph Contrastive Invariant Learning from the Causal Perspective. CoRR (2024)
Qi Zhang, Cheng Yang, Chuan Shi
Adaptive negative representations for graph contrastive learning. AI Open 5 (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
Debiased Graph Neural Networks With Agnostic Label Selection Bias. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
Endowing Pre-trained Graph Models with Provable Fairness. WWW (2024)
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium (2024)
Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61 (4) (2024)
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
Minimum Topology Attacks for Graph Neural Networks. CoRR (2024)
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. CoRR (2024)
Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. CoRR (2024)
Feng Guo, Jiawei Liu, Jianwang Zhai, Jingyu Jia, Kang Zhao, Chuan Shi
PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing. ACM Great Lakes Symposium on VLSI (2024)
Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks. WWW (2024)
Wenchuan Yang, Cheng Yang, Jichao Li, Yuejin Tan, Xin Lu, Chuan Shi
Non-autoregressive personalized bundle generation. Inf. Process. Manag. 61 (5) (2024)
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
Endowing Pre-trained Graph Models with Provable Fairness. CoRR (2024)
Chenghua Gong, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo, Chuan Shi
Towards Learning from Graphs with Heterophily: Progress and Future. CoRR (2024)
Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
Graph Contrastive Invariant Learning from the Causal Perspective. AAAI (2024)
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization. CoRR (2024)
Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. 24 (2) (2023)
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
Provable Training for Graph Contrastive Learning. NeurIPS (2023)
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW (2023)
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. CoRR (2023)
Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du
A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability. KDD (2023)
Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
Learning to Distill Graph Neural Networks. WSDM (2023)
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization. NeurIPS (2023)
Xiaojun Ma, Ziyao Li, Guojie Song, Chuan Shi
Learning discrete adaptive receptive fields for graph convolutional networks. Sci. China Inf. Sci. 66 (12) (2023)
Meiqi Zhu, Xiao Wang, Chuan Shi, Yibo Li, Junping Du
Towards Adaptive Information Fusion in Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Ao Li, Yugang Ji, Guanyi Chu, Xiao Wang, Dong Li, Chuan Shi
Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph. ICASSP (2023)
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
Provable Training for Graph Contrastive Learning. CoRR (2023)
Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. CIKM (2023)
Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang
Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation. DASFAA (2) (2023)
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. CoRR (2023)
Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi
Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks. CIKM (2023)
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu
Knowledge-Adaptive Contrastive Learning for Recommendation. WSDM (2023)
Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi
Graph Contrastive Learning with Stable and Scalable Spectral Encoding. NeurIPS (2023)
Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Deyu Bo, Xiao Wang, Yang Liu, Yuan Fang, Yawen Li, Chuan Shi
A Survey on Spectral Graph Neural Networks. CoRR (2023)
Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization. CoRR (2023)
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
Graph Mining for Cybersecurity: A Survey. CoRR (2023)
Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR (2023)
Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao
Specformer: Spectral Graph Neural Networks Meet Transformers. CoRR (2023)
Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. CoRR (2023)
Zheng-Yang Zhao, Jie Lin, Zhen Wang, Jianxin Guo, Xinke Zhan, Yu-An Huang, Chuan Shi, Wenzhun Huang
SEBGLMA: Semantic Embedded Bipartite Graph Network for Predicting lncRNA-miRNA Associations. Int. J. Intell. Syst. 2023 (2023)
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
Towards Graph Foundation Models: A Survey and Beyond. CoRR (2023)
Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR (2023)
Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
Abnormal Event Detection via Hypergraph Contrastive Learning. CoRR (2023)
Wenting Zhu, Zhe Liu, Zongyi Chen, Chuan Shi, Xi Zhang, Sanchuan Guo
FedValidate: A Robust Federated Learning Framework Based on Client-Side Validation. DSC (2023)
Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
Abnormal Event Detection via Hypergraph Contrastive Learning. SDM (2023)
Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye
Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Cheng Yang, Deyu Bo, Jixi Liu, Yufei Peng, Boyu Chen, Haoran Dai, Ao Sun, Yue Yu, Yixin Xiao, Qi Zhang, Chunchen Wang, Yuxin Guo, Chuan Shi
Data-centric Graph Learning: A Survey. CoRR (2023)
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
Directed Acyclic Graph Structure Learning from Dynamic Graphs. AAAI (2023)
Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization. NeurIPS (2023)
Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi
A Generalized Neural Diffusion Framework on Graphs. CoRR (2023)
Yaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi
GammaGL: A Multi-Backend Library for Graph Neural Networks. SIGIR (2023)
Yugang Ji, Chuan Shi, Yuan Fang
Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks. World Sci. Annu. Rev. Artif. Intell. 1 (2023)
Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi
Retrieving GNN Architecture for Collaborative Filtering. CIKM (2023)
Shuyun Gu, Xiao Wang, Chuan Shi
Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network. ECML/PKDD (2) (2023)
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9 (2) (2023)
Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao
Specformer: Spectral Graph Neural Networks Meet Transformers. ICLR (2023)
Xumeng Gong, Cheng Yang, Chuan Shi
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. AAAI (2023)
Yang Liu, Deyu Bo, Chuan Shi
Graph Condensation via Eigenbasis Matching. CoRR (2023)
Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu
Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
Minimum Topology Attacks for Graph Neural Networks. WWW (2023)
Aikun Xu, Ping Zhong, Yilin Kang, Jiongqiang Duan, Anning Wang, Mingming Lu, Chuan Shi
THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks. IEEE Trans. Intell. Transp. Syst. 24 (2) (2023)
Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph. IEEE Trans. Big Data 8 (3) (2022)
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
Compact Graph Structure Learning via Mutual Information Compression. WWW (2022)
Xumeng Gong, Cheng Yang, Chuan Shi
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. CoRR (2022)
Chuan Shi, Yuanfu Lu, Linmei Hu, Zhiyuan Liu, Huadong Ma
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Yanru Hao, Tianchi Yang, Chuan Shi, Rui Wang, Ding Xiao
An Effective Sentiment Analysis Model for Tobacco Consumption. ICCPR (2022)
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW (2022)
Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR (2022)
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR (2022)
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS (2022)
Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding
A zero-shot learning framework via cluster-prototype matching. Pattern Recognit. 124 (2022)
Tianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
Gated Hypergraph Neural Network for Scene-Aware Recommendation. DASFAA (2) (2022)
Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang
Few-shot Link Prediction in Dynamic Networks. WSDM (2022)
Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
Co-clustering Interactions via Attentive Hypergraph Neural Network. SIGIR (2022)
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chuan Shi