Neural Approximation of Graph Topological Features

Neural Approximation of Graph Topological Features

28 January 2022

Zhi Tang

Papers citing "Neural Approximation of Graph Topological Features"

10 / 10 papers shown

Title
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs Hao Li Hao Jiang Jiajun Fan Dongsheng Ye Liang Du 24 2 0 17 Aug 2024
TopoGCL: Topological Graph Contrastive Learning Yuzhou Chen José Frías Yulia R. Gel 34 8 0 25 Jun 2024
Boosting Graph Pooling with Persistent Homology Chaolong Ying Xinjian Zhao Tianshu Yu GNN AI4CE 34 4 0 26 Feb 2024
Improving Self-supervised Molecular Representation Learning using Persistent Homology Yuankai Luo Lei Shi Veronika Thost SSL 34 8 0 29 Nov 2023
Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 39 5 0 24 Nov 2023
Learning graph geometry and topology using dynamical systems based message-passing Dhananjay Bhaskar Yanlei Zhang Charles Xu Xingzhi Sun O. Fasina Guy Wolf Maximilian Nickel Michael Perlmutter Smita Krishnaswamy AI4CE 36 2 0 18 Sep 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 29 12 0 19 Mar 2023
On the Expressivity of Persistent Homology in Graph Learning Bastian Alexander Rieck Bastian Rieck 19 13 0 20 Feb 2023
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020