Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations

4 November 2022

Papers citing "Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations"

8 / 8 papers shown

Title
Supervised Attention Using Homophily in Graph Neural Networks Michail Chatzianastasis Giannis Nikolentzos Michalis Vazirgiannis GNN 16 0 0 11 Jul 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 45 3 0 15 Jun 2023
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 184 172 0 09 Mar 2020
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
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
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 199 1,778 0 02 Mar 2017