Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs

被引:0
|
作者
Liang, Langzhang [1 ]
Kim, Sunwoo [2 ]
Shin, Kijung [2 ]
Xu, Zenglin [1 ,3 ,4 ,5 ]
Pan, Shirui [6 ]
Qi, Yuan [3 ,4 ]
机构
[1] Harbin Institute of Technology, Shenzhen, Shenzhen, China
[2] Korea Advanced Institute of Science and Technology, Seoul, Korea, Republic of
[3] Fudan University, Shanghai, China
[4] Shanghai Academy of Artificial Intelligence for Science, Shanghai, China
[5] Pengcheng Laboratory, Shenzhen, China
[6] Griffith University, Gold Coast, Australia
来源
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Graph neural networks - Graphic methods - Machine learning
引用
收藏
相关论文
共 3 条
  • [1] Attentional multilabel learning over graphs: a message passing approach
    Kien Do
    Truyen Tran
    Thin Nguyen
    Svetha Venkatesh
    Machine Learning, 2019, 108 : 1757 - 1781
  • [2] Attentional multilabel learning over graphs: a message passing approach
    Kien Do
    Truyen Tran
    Thin Nguyen
    Venkatesh, Svetha
    MACHINE LEARNING, 2019, 108 (10) : 1757 - 1781
  • [3] Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs
    Baker, Justin
    Wang, Qingsong
    Berzins, Martin
    Strohmer, Thomas
    Wang, Bao
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238, 2024, 238