Shi, Chuan

53 publications

AAAI 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi

AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi

AAAI 2025 Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi

AAAI 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi

NeurIPS 2025 Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework Yujie Xing, Xiao Wang, Bin Wu, Hai Huang, Chuan Shi

AAAI 2024 A Generalized Neural Diffusion Framework on Graphs Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi

ECML-PKDD 2024 Adaptively Denoising Graph Neural Networks for Knowledge Distillation Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

NeurIPS 2024 Can Large Language Models Analyze Graphs like Professionals? a Benchmark, Datasets and Models Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, Cheng Yang

AAAI 2024 FairSIN: Achieving Fairness in Graph Neural Networks Through Sensitive Information Neutralization Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi

AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi

ICML 2024 Graph Distillation with Eigenbasis Matching Yang Liu, Deyu Bo, Chuan Shi

AAAI 2024 Graph Invariant Learning with Subgraph Co-Mixup for Out-of-Distribution Generalization Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi

IJCAI 2024 Heterogeneous Graph Transformer with Poly-Tokenization Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi

ICML 2024 Less Is More: On the Over-Globalizing Problem in Graph Transformers Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi

AAAI 2023 Directed Acyclic Graph Structure Learning from Dynamic Graphs Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi

ECML-PKDD 2023 Duplicate Multi-Modal Entities Detection with Graph Contrastive Self-Training Network Shuyun Gu, Xiao Wang, Chuan Shi

NeurIPS 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi

NeurIPS 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-Level Optimization Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song

NeurIPS 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi

AAAI 2023 MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning Xumeng Gong, Cheng Yang, Chuan Shi

NeurIPS 2023 Provable Training for Graph Contrastive Learning Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

ICLR 2023 Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao

IJCAI 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

NeurIPS 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang

AAAI 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou

NeurIPS 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei

AAAI 2022 Robust Heterogeneous Graph Neural Networks Against Adversarial Attacks Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou

IJCAI 2022 Self-Supervised Graph Neural Networks for Multi-Behavior Recommendation Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao

NeurIPS 2022 Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang, Xiao Wang, Chuan Shi, Le Song

NeurIPS 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang

AAAI 2021 Beyond Low-Frequency Information in Graph Convolutional Networks Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

IJCAI 2021 CuCo: Graph Representation with Curriculum Contrastive Learning Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang

ECML-PKDD 2021 Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process Yugang Ji, Tianrui Jia, Yuan Fang, Chuan Shi

AAAI 2021 GraphMSE: Efficient Meta-Path Selection in Semantically Aligned Feature Space for Graph Neural Networks Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang

AAAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

AAAI 2021 Learning to Pre-Train Graph Neural Networks Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi

ECML-PKDD 2021 Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song

AAAI 2021 Who You Would like to Share with? a Study of Share Recommendation in Social E-Commerce Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He

IJCAI 2020 Decorrelated Clustering with Data Selection Bias Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang

AAAI 2020 FlowScope: Spotting Money Laundering Based on Graphs Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng

AAAI 2020 GraLSP: Graph Neural Networks with Local Structural Patterns Yilun Jin, Guojie Song, Chuan Shi

AAAI 2020 Multi-Component Graph Convolutional Collaborative Filtering Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li

IJCAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye

ECML-PKDD 2020 Social Influence Attentive Neural Network for Friend-Enhanced Recommendation Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

ECML-PKDD 2020 Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi

AAAI 2019 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi

AAAI 2019 Hyperbolic Heterogeneous Information Network Embedding Xiao Wang, Yiding Zhang, Chuan Shi

AAAI 2019 Relation Structure-Aware Heterogeneous Information Network Embedding Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu

IJCAI 2019 iDev: Enhancing Social Coding Security by Cross-Platform User Identification Between GitHub and Stack Overflow Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu

IJCAI 2018 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song

IJCAI 2018 NeuCast: Seasonal Neural Forecast of Power Grid Time Series Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng

ECML-PKDD 2016 Aspect Mining with Rating Bias Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu

ECML-PKDD 2011 Multi-Label Ensemble Learning Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang