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2020 – today
- 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- [j39]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) - [j38]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) - [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) - [c147]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 - [c146]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 - [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 - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR abs/2205.03811 (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]Zhiqiang Zhang, Jun Zhou, Chuan Shi:
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. CIKM 2020: 3485-3488 - [c103]Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu:
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub. ICKG 2020: 458-465 - [c102]Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao:
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. ICDM 2020: 132-141 - [c101]Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang:
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. ICDM 2020: 791-800 - [c100]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. ICDM 2020: 1310-1315 - [c99]Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye:
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI 2020: 1366-1372 - [c98]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. IJCAI 2020: 2177-2183 - [c97]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD 2020: 1243-1253 - [c96]Yuanfu Lu, Yuan Fang, Chuan Shi:
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. KDD 2020: 1563-1573 - [c95]Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin:
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. ECML/PKDD (4) 2020: 3-18 - [c94]Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi:
Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation. ECML/PKDD (3) 2020: 314-329 - [c93]Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi:
Multiplex Memory Network for Collaborative Filtering. SDM 2020: 91-99 - [c92]Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. WWW 2020: 1400-1410 - [c91]Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang:
One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW 2020: 3070-3076 - [i21]Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. CoRR abs/2002.01633 (2020) - [i20]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. CoRR abs/2006.15874 (2020) - [i19]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR abs/2007.02265 (2020) - [i18]Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. CoRR abs/2009.00799 (2020) - [i17]Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu:
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference. CoRR abs/2010.02602 (2020) - [i16]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR abs/2011.14867 (2020) - [i15]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. CoRR abs/2012.02434 (2020)
2010 – 2019
- 2019
- [j25]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Pengcheng Sheng:
On Balancing Neighborhood and Global Replacement Strategies in MOEA/D. IEEE Access 7: 45274-45290 (2019) - [j24]Jianwei Liu, Chuan Shi:
Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing. IEEE Access 7: 181855-181866 (2019) - [j23]Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. 31(2): 357-370 (2019) - [j22]Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philip S. Yu, Zhiping Shi:
SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks. World Wide Web 22(1): 153-184 (2019) - [c90]Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019: 946-953 - [c89]Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. AAAI 2019: 4456-4463 - [c88]Xiao Wang, Yiding Zhang, Chuan Shi:
Hyperbolic Heterogeneous Information Network Embedding. AAAI 2019: 5337-5344 - [c87]Yun-Yao Cheng, Bin Wu, Li Song, Chuan Shi:
Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection. ADMA 2019: 565-578 - [c86]Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi:
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. APWeb/WAIM (1) 2019: 95-109 - [c85]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM 2019: 469-478 - [c84]Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi:
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. CIKM 2019: 549-558 - [c83]Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye:
Author Set Identification via Quasi-Clique Discovery. CIKM 2019: 771-780 - [c82]Chuan Shi, Philip S. Yu:
Recent Developments of Deep Heterogeneous Information Network Analysis. CIKM 2019: 2973-2974 - [c81]Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM 2019: 2991-2992 - [c80]Jiayu Ding, Xiaohuan Cao, Linmei Hu, Chuan Shi:
Meta-Path based Text Feature Enrichment Using Knowledge Graph. DSC 2019: 649-655 - [c79]Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang:
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) 2019: 3819-3827 - [c78]Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li:
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP/IJCNLP (1) 2019: 4820-4829 - [c77]Xiaojun Yang, Zhongfu Xu, Chuan Shi, Hao Lei, Changwei Yan:
Credibility Assessment of Simulation Models Using Hesitant Cloud Linguistic Term Sets. ICNC-FSKD 2019: 856-863 - [c76]Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu:
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. IJCAI 2019: 2272-2278 - [c75]Luhao Zhang, Linmei Hu, Chuan Shi:
Incorporating Instance Correlations in Distantly Supervised Relation Extraction. JIST 2019: 177-191 - [c74]Binbin Hu, Yuan Fang, Chuan Shi:
Adversarial Learning on Heterogeneous Information Networks. KDD 2019: 120-129 - [c73]Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li:
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD 2019: 2478-2486 - [c72]Dedong Li, Aimin Zhou, Chuan Shi:
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. PAKDD (3) 2019: 15-26 - [c71]