Yifan Wang

According to our database, Yifan Wang authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang

Neural Networks, 2024

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.

Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

CoRR, 2024

A Survey of Data-Efficient Graph Learning.

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

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

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.

Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang

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

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised graph-level representation learning with hierarchical contrasts.

Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang

Neural Networks, January, 2023

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.

Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction.

Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.

Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.

Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.

Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep Graph Mutual Learning for Cross-domain Recommendation.

Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang

Proceedings of the Database Systems for Advanced Applications, 2022

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.

Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention.

Ming Zhang, Shixing Liu, Yifan Wang

Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.

Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Session-Based Social Recommendation via Dynamic Graph Attention Networks.

Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Prediction of damage results of complex network under grey information attack.

Tao Ren, Miaomiao Liu, Yan-Jie Xu, Yi-Fan Wang

J. Intell. Fuzzy Syst., 2018

2016

The consensus of nonlinear multi-agent system with switching topologies and communication failure.

Tao Ren, Yi-Fan Wang, Miaomiao Liu, Cai-juan Li, Yi-Yang Liu

J. Intell. Fuzzy Syst., 2016