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Geom-GCN: Geometric Graph Convolutional Networks

Geom-GCN: Geometric Graph Convolutional Networks

13 February 2020
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
    GNN
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Papers citing "Geom-GCN: Geometric Graph Convolutional Networks"

12 / 12 papers shown
Title
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
7
0
0
04 May 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
29
0
0
29 Apr 2025
Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node Classification
Michael Ito
Danai Koutra
Jenna Wiens
28
1
0
29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
34
1
0
29 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
27
46
0
28 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal
A Generative Graph Contrastive Learning Model with Global Signal
Xiaofan Wei
Binyan Zhang
29
0
0
25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
17
0
0
25 Apr 2025
Commute Graph Neural Networks
Commute Graph Neural Networks
Wei Zhuo
Han Yu
Guang Tan
Xiaoxiao Li
GNN
63
1
0
30 Jun 2024
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
124
682
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
196
1,726
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
212
1,728
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
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
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