Niu, Bingxin

8 publications

CVPR 2024 Improving Graph Contrastive Learning via Adaptive Positive Sampling Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang

NeurIPS 2024 Unified Graph Augmentations for Generalized Contrastive Learning on Graphs Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

NeurIPS 2023 Self-Supervised Graph Neural Networks via Low-Rank Decomposition Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Xiaochun Cao, Chuan Wang

NeurIPS 2022 OPEN: Orthogonal Propagation with Ego-Network Modeling Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo

AAAI 2022 Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

NeurIPS 2021 Diverse Message Passing for Attribute with Heterophily Liang Yang, Mengzhe Li, Liyang Liu, Bingxin Niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

IJCAI 2021 Heterogeneous Graph Information Bottleneck Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

AAAI 2021 Why Do Attributes Propagate in Graph Convolutional Neural Networks? Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu