Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning

12 February 2024

Papers citing "Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning"

6 / 6 papers shown

Title
Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 20 4 0 24 Nov 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
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,329 0 12 Feb 2018
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