Cycle Invariant Positional Encoding for Graph Representation Learning

Cycle Invariant Positional Encoding for Graph Representation Learning

24 November 2023

Zhi Tang

Papers citing "Cycle Invariant Positional Encoding for Graph Representation Learning"

7 / 7 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
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 71 0 0 10 Dec 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning Ziquan Wei Tingting Dan Guorong Wu 27 0 0 12 Feb 2024
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 22 12 0 19 Mar 2023
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 192 304 0 15 Oct 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 907 0 02 Mar 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,329 0 12 Feb 2018