Xiangguo Sun

According to our database, Xiangguo Sun authored at least 46 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System.

Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin

IEEE Trans. Knowl. Data Eng., November, 2024

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.

Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu

IEEE Trans. Knowl. Data Eng., September, 2024

Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks.

Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-Wei Lee

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.

Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu

IEEE Trans. Comput. Soc. Syst., April, 2024

Multi-stage dynamic disinformation detection with graph entropy guidance.

Xiaorong Hao, Bo Liu, Xinyan Yang, Xiangguo Sun, Qing Meng, Jiuxin Cao

World Wide Web (WWW), January, 2024

Modeling group-level public sentiment in social networks through topic and role enhancement.

Ruwen Zhang, Bo Liu, Jiuxin Cao, Hantao Zhao, Xuheng Sun, Yan Liu, Xiangguo Sun

Knowl. Based Syst., 2024

Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation.

Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu

CoRR, 2024

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.

Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng

CoRR, 2024

Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations.

Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi

CoRR, 2024

Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis.

Qunzhong Wang, Xiangguo Sun, Hong Cheng

CoRR, 2024

Urban Region Pre-training and Prompting: A Graph-based Approach.

Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang

CoRR, 2024

ProG: A Graph Prompt Learning Benchmark.

Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li

CoRR, 2024

Graph Sparsification via Mixture of Graphs.

Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan

CoRR, 2024

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.

Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang

CoRR, 2024

Prompt Learning on Temporal Interaction Graphs.

Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang

CoRR, 2024

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.

Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Intelligence with Large Language Models and Prompt Learning.

Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Condensation for Open-World Graph Learning.

Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract).

Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Survey of Graph Meets Large Language Model: Progress and Future Directions.

Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Protein Multimer Structure Prediction via Prompt Learning.

Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.

Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, Guangyong Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks.

Zhiyao Shu, Xiangguo Sun, Hong Cheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Attention-Fused Deep Relevancy Matching Network for Clickbait Detection.

Qing Meng, Bo Liu, Xiangguo Sun, Hui Yan, Chengyu Liang, Jiuxin Cao, Roy Ka-Wei Lee, Xing Bao

IEEE Trans. Comput. Soc. Syst., December, 2023

Self-Supervised Hypergraph Representation Learning for Sociological Analysis.

Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., November, 2023

Recognize News Transition from Collective Behavior for News Recommendation.

Qing Meng, Hui Yan, Bo Liu, Xiangguo Sun, Mingrui Hu, Jiuxin Cao

ACM Trans. Inf. Syst., October, 2023

Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen

IEEE Trans. Knowl. Data Eng., September, 2023

Event-based incremental recommendation via factors mixed Hawkes process.

Zhihong Cui, Xiangguo Sun, Li Pan, Shijun Liu, Guandong Xu

Inf. Sci., August, 2023

Sparse relation prediction based on hypergraph neural networks in online social networks.

Yuanshen Guan, Xiangguo Sun, Yongjiao Sun

World Wide Web (WWW), January, 2023

In Your Eyes: Modality Disentangling for Personality Analysis in Short Video.

Xiangguo Sun, Bo Liu, Liya Ai, Danni Liu, Qing Meng, Jiuxin Cao

IEEE Trans. Comput. Soc. Syst., 2023

Computing Graph Edit Distance via Neural Graph Matching.

Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng

Proc. VLDB Endow., 2023

Intra- and inter-semantic with multi-scale evolving patterns for dynamic graph learning.

Yingying Xue, Aibo Song, Xiaolin Fang, Jiahui Jin, Xiangguo Sun, Yingxue Zhang

Knowl. Based Syst., 2023

Graph Prompt Learning: A Comprehensive Survey and Beyond.

Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li

CoRR, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu

Proceedings of the ACM Web Conference 2023, 2023

All in One: Multi-Task Prompting for Graph Neural Networks.

Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu

CoRR, 2022

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation.

Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao

Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Hypergraph Embedding for Graph Classification.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung

Proceedings of the WSDM '21, 2021

Temporal Meta-path Guided Explainable Recommendation.

Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin

Proceedings of the WSDM '21, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.

Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Group-level personality detection based on text generated networks.

Xiangguo Sun, Bo Liu, Qing Meng, Jiuxin Cao, Junzhou Luo, Hongzhi Yin

World Wide Web, 2020

Co-Detection of crowdturfing microblogs and spammers in online social networks.

Bo Liu, Xiangguo Sun, Zeyang Ni, Jiuxin Cao, Junzhou Luo, Benyuan Liu, Xinwen Fu

World Wide Web, 2020

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.

Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Quantifying Group Influence on Individuals in Online Social Networks.

Qing Meng, Junzhou Luo, Bo Liu, Xiangguo Sun, Jiuxin Cao

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

2018

Who Am I? Personality Detection Based on Deep Learning for Texts.

Xiangguo Sun, Bo Liu, Jiuxin Cao, Junzhou Luo, Xiaojun Shen

Proceedings of the 2018 IEEE International Conference on Communications, 2018