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Chuan Shi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
- [j50]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) - [j49]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): 415-436 (2023) - [j48]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): 1533-1543 (2023) - [j47]Houye Ji
, Xiao Wang
, Chuan Shi
, Bai Wang, Philip S. Yu
:
Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. 35(1): 521-532 (2023) - [j46]Ruijia Wang
, Chuan Shi
, Tianyu Zhao
, Xiao Wang
, Yanfang Ye
:
Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. 35(2): 1581-1593 (2023) - [j45]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): 2271-2283 (2023) - [c164]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: 462-472 - [c163]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: 123-131 - [c162]Hao Wang
, Yao Xu
, Cheng Yang
, Chuan Shi
, Xin Li
, Ning Guo
, Zhiyuan Liu
:
Knowledge-Adaptive Contrastive Learning for Recommendation. WSDM 2023: 535-543 - [c161]Cheng Yang
, Xumeng Gong
, Chuan Shi
, Philip S. Yu
:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW 2023: 251-262 - [c160]Mengmei Zhang
, Xiao Wang
, Chuan Shi
, Lingjuan Lyu
, Tianchi Yang
, Junping Du
:
Minimum Topology Attacks for Graph Neural Networks. WWW 2023: 630-640 - [i47]Deyu Bo, Xiao Wang, Yang Liu, Yuan Fang, Yawen Li, Chuan Shi:
A Survey on Spectral Graph Neural Networks. CoRR abs/2302.05631 (2023) - [i46]Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao:
Specformer: Spectral Graph Neural Networks Meet Transformers. CoRR abs/2303.01028 (2023) - [i45]Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du:
Graph Mining for Cybersecurity: A Survey. CoRR abs/2304.00485 (2023) - [i44]Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. CoRR abs/2304.00698 (2023) - [i43]Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang:
Abnormal Event Detection via Hypergraph Contrastive Learning. CoRR abs/2304.01226 (2023) - [i42]Nian Liu, Xiao Wang, Hui Han, Chuan Shi:
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. CoRR abs/2304.12228 (2023) - 2022
- [b3]Chuan Shi, Xiao Wang, Philip S. Yu:
Heterogeneous Graph Representation Learning and Applications. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2022, ISBN 978-981-16-6165-5, pp. 1-318 - [j44]Jiawei Liu
, Chuan Shi, Cheng Yang, Zhiyuan Lu
, Philip S. Yu
:
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. AI Open 3: 40-57 (2022) - [j43]Tianchi Yang, Luhao Zhang, Cheng Yang, Chuan Shi, Maodi Hu, Tao Li, Dong Wang:
Hypergraph Clustering Network for Interaction Data. IEEE Data Eng. Bull. 45(4): 88-101 (2022) - [j42]Guanglin Niu, Bo Li, Yongfei Zhang
, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu:
Joint semantics and data-driven path representation for knowledge graph reasoning. Neurocomputing 483: 249-261 (2022) - [j41]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: 108469 (2022) - [j40]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): 616-629 (2022) - [j39]Guojie Song
, Chuan Shi
, Yizhou Sun
, Zhiyuan Liu
:
Guest Editorial: Special Issue on Social Media Computing. IEEE Trans. Big Data 8(4): 953-954 (2022) - [j38]Yiding Zhang
, Xiao Wang
, Chuan Shi
, Xunqiang Jiang, Yanfang Ye
:
Hyperbolic Graph Attention Network. IEEE Trans. Big Data 8(6): 1690-1701 (2022) - [j37]Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi:
Embedding Heterogeneous Information Network in Hyperbolic Spaces. ACM Trans. Knowl. Discov. Data 16(2): 35:1-35:23 (2022) - [j36]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): 433-447 (2022) - [j35]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): 1117-1132 (2022) - [c159]Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI 2022: 3913-3921 - [c158]Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI 2022: 4363-4370 - [c157]Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi:
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. CIKM 2022: 3993-3997 - [c156]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: 199-215 - [c155]Luhao Zhang, Ruiyu Fang, Tianchi Yang, Maodi Hu, Tao Li, Chuan Shi, Dong Wang:
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation. DASFAA (3) 2022: 351-363 - [c154]Yanru Hao, Tianchi Yang, Chuan Shi, Rui Wang, Ding Xiao:
An Effective Sentiment Analysis Model for Tobacco Consumption. ICCPR 2022: 496-502 - [c153]Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao:
Self-supervised Graph Neural Networks for Multi-behavior Recommendation. IJCAI 2022: 2052-2058 - [c152]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI 2022: 2441-2447 - [c151]Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang:
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS 2022 - [c150]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS 2022 - [c149]Ruijia Wang, Xiao Wang, Chuan Shi, Le Song:
Uncovering the Structural Fairness in Graph Contrastive Learning. NeurIPS 2022 - [c148]Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang:
Geometric Disentangled Collaborative Filtering. SIGIR 2022: 80-90 - [c147]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: 859-869 - [c146]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. SIGIR 2022: 2776-2789 - [c145]Zhenyi Wang, Huan Zhao, Chuan Shi:
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. WSDM 2022: 1109-1119 - [c144]Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang:
Few-shot Link Prediction in Dynamic Networks. WSDM 2022: 1245-1255 - [c143]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: 1248-1258 - [c142]Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du:
Prohibited Item Detection via Risk Graph Structure Learning. WWW 2022: 1434-1443 - [c141]Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. WWW 2022: 1601-1610 - [i41]Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. CoRR abs/2201.05540 (2022) - [i40]Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang:
Debiased Graph Neural Networks with Agnostic Label Selection Bias. CoRR abs/2201.07708 (2022) - [i39]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR abs/2201.11349 (2022) - [i38]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 abs/2202.09177 (2022) - [i37]Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi:
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. CoRR abs/2203.01820 (2022) - [i36]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR abs/2205.03811 (2022) - [i35]Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR abs/2205.08285 (2022) - [i34]Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang:
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR abs/2209.14107 (2022) - [i33]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR abs/2210.02330 (2022) - [i32]Ruijia Wang, Xiao Wang, Chuan Shi, Le Song:
Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR abs/2210.03011 (2022) - [i31]Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi:
Directed Acyclic Graph Structure Learning from Dynamic Graphs. CoRR abs/2211.17029 (2022) - [i30]Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song:
xTrimoABFold: De novo Antibody Structure Prediction without MSA. CoRR abs/2212.00735 (2022) - [i29]Xumeng Gong, Cheng Yang, Chuan Shi:
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. CoRR abs/2212.07035 (2022) - 2021
- [b2]Cheng Yang, Zhiyuan Liu
, Cunchao Tu, Chuan Shi, Maosong Sun:
Network Embedding: Theories, Methods, and Applications. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2021, pp. 1-242 - [j34]Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li
:
Entity set expansion in knowledge graph: a heterogeneous information network perspective. Frontiers Comput. Sci. 15(1): 151307 (2021) - [j33]Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu
:
Text-Graph Enhanced Knowledge Graph Representation Learning. Frontiers Artif. Intell. 4: 697856 (2021) - [j32]Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang
:
Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. ACM Trans. Knowl. Discov. Data 15(1): 10:1-10:23 (2021) - [j31]Chuan Shi
, Xiaotian Han
, Li Song, Xiao Wang
, Senzhang Wang
, Junping Du
, Philip S. Yu
:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 33(4): 1413-1425 (2021) - [j30]Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li
, Liqiang Nie:
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. ACM Trans. Inf. Syst. 39(3): 32:1-32:29 (2021) - [c140]Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He:
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. AAAI 2021: 232-239 - [c139]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. AAAI 2021: 3950-3957 - [c138]Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang:
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. AAAI 2021: 4206-4214 - [c137]Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi:
Learning to Pre-train Graph Neural Networks. AAAI 2021: 4276-4284 - [c136]Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705 - [c135]Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou:
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. ACL/IJCNLP (1) 2021: 754-763 - [c134]Xunqiang Jiang, Yuanfu Lu, Yuan Fang
, Chuan Shi:
Contrastive Pre-Training of GNNs on Heterogeneous Graphs. CIKM 2021: 803-812 - [c133]Hao Wang, Cheng Yang, Chuan Shi:
Neural Information Diffusion Prediction with Topic-Aware Attention Network. CIKM 2021: 1899-1908 - [c132]Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang
, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu:
Topic-aware Heterogeneous Graph Neural Network for Link Prediction. CIKM 2021: 2261-2270 - [c131]Yugang Ji, Chuan Shi, Xiao Wang:
Prohibited Item Detection on Heterogeneous Risk Graphs. CIKM 2021: 3867-3877 - [c130]Wenrui Wu, Tao Tao, Jing Shang, Ding Xiao, Chuan Shi, Yong Jiang:
Sequence Attention for Multivariate Time Series Forecasting. DSC 2021: 83-90 - [c129]Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang
, Wang-Chien Lee, Chuan Shi, Philip S. Yu, Ming-Syan Chen:
Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer. ICDE 2021: 2075-2080 - [c128]Houye Ji, Cheng Yang, Chuan Shi, Pan Li:
Heterogeneous Graph Neural Network with Distance Encoding. ICDM 2021: 1138-1143 - [c127]Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang:
CuCo: Graph Representation with Curriculum Contrastive Learning. IJCAI 2021: 2300-2306 - [c126]Xunqiang Jiang, Tianrui Jia, Yuan Fang
, Chuan Shi, Zhe Lin, Hui Wang:
Pre-training on Large-Scale Heterogeneous Graph. KDD 2021: 756-766 - [c125]Xiao Wang, Nian Liu, Hui Han, Chuan Shi:
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. KDD 2021: 1726-1736 - [c124]Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c123]Chuan Shi, Yuan Fang
, Yanfang Ye, Jiawei Zhang:
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD 2021: 4157-4158 - [c122]Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang:
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. NeurIPS 2021: 23768-23779 - [c121]Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan
, Ming Zhou:
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. PAKDD (3) 2021: 325-337 - [c120]Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song:
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. ECML/PKDD (2) 2021: 335-350 - [c119]Yugang Ji, Tianrui Jia, Yuan Fang
, Chuan Shi:
Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process. ECML/PKDD (1) 2021: 388-403 - [c118]Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu:
Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. SDM 2021: 64-72 - [c117]Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin:
Package Recommendation with Intra- and Inter-Package Attention Networks. SIGIR 2021: 595-604 - [c116]Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie:
Graph Structure Estimation Neural Networks. WWW 2021: 342-353 - [c115]Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. WWW 2021: 1215-1226 - [c114]Cheng Yang, Jiawei Liu, Chuan Shi:
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. WWW 2021: 1227-1237 - [c113]Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. WWW 2021: 1249-1261 - [c112]Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li:
Large-scale Comb-K Recommendation. WWW 2021: 2512-2523 - [i28]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. CoRR abs/2101.00797 (2021) - [i27]Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR abs/2101.11859 (2021) - [i26]Cheng Yang, Jiawei Liu, Chuan Shi:
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. CoRR abs/2103.02885 (2021) - [i25]Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. CoRR abs/2104.07477 (2021) - [i24]Xiao Wang, Nian Liu, Hui Han, Chuan Shi:
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. CoRR abs/2105.09111 (2021) - [i23]Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang:
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. CoRR abs/2109.14285 (2021) - [i22]Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang:
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR abs/2111.10657 (2021) - 2020
- [j29]Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao:
Graph neural news recommendation with long-term and short-term interest modeling. Inf. Process. Manag. 57(2): 102142 (2020) - [j28]Yugang Ji, Chuan Shi, Yuan Fang
, Xiangnan Kong, Mingyang Yin:
Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks. Inf. Process. Manag. 57(6): 102338 (2020) - [j27]Linmei Hu, Jiayu Ding, Chuan Shi, Chao Shao, Shaohua Li:
Graph neural entity disambiguation. Knowl. Based Syst. 195: 105620 (2020) - [j26]Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi:
Embedding geographic information for anomalous trajectory detection. World Wide Web 23(5): 2789-2809 (2020) - [c111]Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI 2020: 4361-4368 - [c110]Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. AAAI 2020: 4731-4738 - [c109]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. AAAI 2020: 6267-6274 - [c108]Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou:
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264 - [c107]Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi:
Encrypted Traffic Classification Using Graph Convolutional Networks. ADMA 2020: 207-219 - [c106]Mingjun Ma, Bo Peng, Ding Xiao, Yugang Ji, Chuan Shi:
STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction. ADMA 2020: 315-323 - [c105]Jing Zhang
, Yangli-ao Geng, Qingyong Li, Chuan Shi:
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. CIKM 2020: 1803-1812 - [c104]