Beyond Homophily in Graph Neural Networks: Current Limitations and
Effective Designs

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

20 June 2020

Yujun Yan

Papers citing "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs"

11 / 11 papers shown

Title
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 16 0 0 16 Jul 2023
Evolving Computation Graphs Andreea Deac Jian Tang 22 1 0 22 Jun 2023
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua X. Chang Doina Precup GNN 11 32 0 21 Dec 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 1 0 30 Sep 2022
Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He Chundong Liang Huixin Liu Ming-Chang Wen Pengfei Jiao Zhiyong Feng GNN 21 65 0 27 Dec 2021
Mini-batch graphs for robust image classification Arnab Kumar Mondal V. Jain K. Siddiqi OOD 33 6 0 22 Apr 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal K. Fountoulakis Aukosh Jagannath OODD 33 75 0 13 Feb 2021
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 23 704 0 14 Jun 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,077 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 835 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 234 1,941 0 09 Jun 2018