Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning

20 March 2024

Papers citing "Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning"

5 / 5 papers shown

Title
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness Bohang Zhang Jingchu Gai Yiheng Du Qiwei Ye Di He Liwei Wang 41 33 0 16 Jan 2024
Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey Alipanah Parviz Maximilian Thiessen Hannes Stärk Ylli Sadikaj Haggai Maron AI4CE 29 15 0 28 Oct 2022
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 154 1,748 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016