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2020 – today
- 2025
[c20]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. ICLR 2025- [i29]Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng:
A Comprehensive Analysis on LLM-based Node Classification Algorithms. CoRR abs/2502.00829 (2025) - [i28]Haojia Zhu, Jiahui Jin, Dong Kan, Rouxi Shen, Ruize Wang, Xiangguo Sun, Jinghui Zhang:
Boundary Prompting: Elastic Urban Region Representation via Graph-based Spatial Tokenization. CoRR abs/2503.07991 (2025) - 2024
- [j17]Ruwen Zhang
, Bo Liu, Jiuxin Cao, Hantao Zhao, Xuheng Sun, Yan Liu, Xiangguo Sun:
Modeling group-level public sentiment in social networks through topic and role enhancement. Knowl. Based Syst. 305: 112594 (2024) - [j16]Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu:
Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. IEEE Trans. Comput. Soc. Syst. 11(2): 2755-2764 (2024) - [j15]Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu:
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(9): 4458-4471 (2024) - [j14]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Trans. Knowl. Data Eng. 36(11): 5849-5859 (2024) - [j13]Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-Wei Lee:
Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4887-4898 (2024) - [j12]Xiaorong Hao, Bo Liu, Xinyan Yang, Xiangguo Sun, Qing Meng, Jiuxin Cao:
Multi-stage dynamic disinformation detection with graph entropy guidance. World Wide Web (WWW) 27(1): 8 (2024) - [c19]Zhiyao Shu, Xiangguo Sun, Hong Cheng:
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CIKM 2024: 2087-2096 - [c18]Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, Guangyong Zheng:
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CIKM 2024: 2431-2441 - [c17]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. ICLR 2024 - [c16]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI 2024: 8123-8131 - [c15]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). IJCAI 2024: 8460-8465 - [c14]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. KDD 2024: 851-862 - [c13]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD 2024: 4443-4454 - [c12]Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu:
Graph Intelligence with Large Language Models and Prompt Learning. KDD 2024: 6545-6554 - [c11]Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li:
ProG: A Graph Prompt Learning Benchmark. NeurIPS 2024 - [i27]Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu:
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. CoRR abs/2401.05744 (2024) - [i26]Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang:
Prompt Learning on Temporal Interaction Graphs. CoRR abs/2402.06326 (2024) - [i25]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. CoRR abs/2402.09834 (2024) - [i24]Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang:
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CoRR abs/2402.11472 (2024) - [i23]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. CoRR abs/2402.18813 (2024) - [i22]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR abs/2403.07040 (2024) - [i21]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. CoRR abs/2405.14260 (2024) - [i20]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. CoRR abs/2405.17003 (2024) - [i19]Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li:
ProG: A Graph Prompt Learning Benchmark. CoRR abs/2406.05346 (2024) - [i18]Zhiyao Shu, Xiangguo Sun, Hong Cheng:
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CoRR abs/2407.03568 (2024) - [i17]Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang:
Urban Region Pre-training and Prompting: A Graph-based Approach. CoRR abs/2408.05920 (2024) - [i16]Qunzhong Wang, Xiangguo Sun, Hong Cheng:
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. CoRR abs/2410.01635 (2024) - [i15]Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi:
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. CoRR abs/2410.11719 (2024) - [i14]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. CoRR abs/2410.11782 (2024) - [i13]Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu:
Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. CoRR abs/2411.00813 (2024) - [i12]Minbin Huang, Runhui Huang, Han Shi, Yimeng Chen, Chuanyang Zheng, Xiangguo Sun, Xin Jiang, Zhenguo Li, Hong Cheng:
Efficient Multi-modal Large Language Models via Visual Token Grouping. CoRR abs/2411.17773 (2024) - 2023
- [j11]Zhihong Cui, Xiangguo Sun, Li Pan, Shijun Liu, Guandong Xu:
Event-based incremental recommendation via factors mixed Hawkes process. Inf. Sci. 639: 119007 (2023) - [j10]Yingying Xue, Aibo Song, Xiaolin Fang, Jiahui Jin, Xiangguo Sun, Yingxue Zhang:
Intra- and inter-semantic with multi-scale evolving patterns for dynamic graph learning. Knowl. Based Syst. 260: 110167 (2023) - [j9]Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng:
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j8]Xiangguo Sun, Bo Liu, Liya Ai, Danni Liu, Qing Meng, Jiuxin Cao:
In Your Eyes: Modality Disentangling for Personality Analysis in Short Video. IEEE Trans. Comput. Soc. Syst. 10(3): 982-993 (2023) - [j7]Qing Meng, Bo Liu, Xiangguo Sun, Hui Yan, Chengyu Liang, Jiuxin Cao, Roy Ka-Wei Lee, Xing Bao:
Attention-Fused Deep Relevancy Matching Network for Clickbait Detection. IEEE Trans. Comput. Soc. Syst. 10(6): 3120-3131 (2023) - [j6]Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen:
Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection. IEEE Trans. Knowl. Data Eng. 35(9): 9128-9139 (2023) - [j5]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023) - [j4]Qing Meng, Hui Yan, Bo Liu, Xiangguo Sun, Mingrui Hu, Jiuxin Cao:
Recognize News Transition from Collective Behavior for News Recommendation. ACM Trans. Inf. Syst. 41(4): 93:1-93:30 (2023) - [j3]Yuanshen Guan, Xiangguo Sun, Yongjiao Sun:
Sparse relation prediction based on hypergraph neural networks in online social networks. World Wide Web (WWW) 26(1): 7-31 (2023) - [c10]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks. KDD 2023: 2120-2131 - [c9]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW 2023: 621-629 - [i11]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks. CoRR abs/2307.01504 (2023) - [i10]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. CoRR abs/2311.05144 (2023) - [i9]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR abs/2311.12399 (2023) - [i8]Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li:
Graph Prompt Learning: A Comprehensive Survey and Beyond. CoRR abs/2311.16534 (2023) - 2022
- [c8]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. WWW 2022: 1322-1330 - [i7]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. CoRR abs/2201.07986 (2022) - [i6]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. CoRR abs/2207.00148 (2022) - [i5]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - 2021
- [c7]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c6]Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung:
Heterogeneous Hypergraph Embedding for Graph Classification. WSDM 2021: 725-733 - [c5]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. WSDM 2021: 1056-1064 - [c4]Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao:
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks. WWW 2021: 2934-2945 - [i4]Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. CoRR abs/2101.01433 (2021) - [i3]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CoRR abs/2108.08134 (2021) - 2020
- [j2]Bo Liu, Xiangguo Sun, Zeyang Ni, Jiuxin Cao, Junzhou Luo, Benyuan Liu, Xinwen Fu:
Co-Detection of crowdturfing microblogs and spammers in online social networks. World Wide Web 23(1): 573-607 (2020) - [j1]Xiangguo Sun, Bo Liu, Qing Meng, Jiuxin Cao, Junzhou Luo, Hongzhi Yin:
Group-level personality detection based on text generated networks. World Wide Web 23(3): 1887-1906 (2020) - [c3]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD 2020: 1503-1511 - [i2]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR abs/2006.01963 (2020) - [i1]Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung:
Heterogeneous Hypergraph Embedding for Graph Classification. CoRR abs/2010.10728 (2020)
2010 – 2019
- 2019
- [c2]Qing Meng, Junzhou Luo, Bo Liu, Xiangguo Sun, Jiuxin Cao:
Quantifying Group Influence on Individuals in Online Social Networks. ISCC 2019: 1-6 - 2018
- [c1]Xiangguo Sun, Bo Liu, Jiuxin Cao, Junzhou Luo, Xiaojun Shen:
Who Am I? Personality Detection Based on Deep Learning for Texts. ICC 2018: 1-6
Coauthor Index
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