Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs

22 October 2022

Papers citing "Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs"

10 / 10 papers shown

Title
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Lecheng Kong Jiarui Feng Hao Liu Chengsong Huang Jiaxin Huang Yixin Chen Muhan Zhang AI4CE 43 4 0 12 Jul 2024
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 64 36 0 30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 160 233 0 15 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 107 62 0 01 Oct 2021
The expressive power of kth-order invariant graph networks Floris Geerts 89 34 0 23 Jul 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 168 760 0 02 Mar 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 165 825 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 197 1,205 0 12 Feb 2018
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 140 1,486 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 220 2,990 0 24 Nov 2016