Extending the Design Space of Graph Neural Networks by Rethinking
Folklore Weisfeiler-Lehman

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman

5 June 2023

Hao Liu

Papers citing "Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman"

10 / 10 papers shown

Title
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 22 0 0 21 Oct 2024
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 77 6 0 12 Jul 2024
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 69 74 0 02 Mar 2023
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 76 46 0 22 Oct 2022
Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong Yixin Chen Muhan Zhang GNN AI4CE 86 21 0 06 Oct 2022
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 120 78 0 01 Oct 2021
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 181 907 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 157 1,748 0 02 Mar 2017