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New Benchmarks for Learning on Non-Homophilous Graphs

New Benchmarks for Learning on Non-Homophilous Graphs

3 April 2021
Derek Lim
Xiuyu Li
Felix Hohne
Ser-Nam Lim
ArXivPDFHTML

Papers citing "New Benchmarks for Learning on Non-Homophilous Graphs"

26 / 26 papers shown
Title
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
Re-evaluating the Advancements of Heterophilic Graph Learning
Re-evaluating the Advancements of Heterophilic Graph Learning
Sitao Luan
Qincheng Lu
Chenqing Hua
Xinyu Wang
Jiaqi Zhu
Xiao-Wen Chang
57
2
0
09 Sep 2024
Graph Neural Reaction Diffusion Models
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffM
AI4CE
35
2
0
16 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
42
5
0
05 Jun 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
33
9
0
10 Jul 2023
Individual and Structural Graph Information Bottlenecks for
  Out-of-Distribution Generalization
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Ling Yang
Jiayi Zheng
Heyuan Wang
Zhongyi Liu
Zhilin Huang
Shenda Hong
Wentao Zhang
Bin Cui
22
13
0
28 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
24
12
0
20 Jun 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and
  Over-smoothing
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
32
63
0
03 Feb 2023
Enhancing Intra-class Information Extraction for Heterophilous Graphs:
  One Neural Architecture Search Approach
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
19
1
0
20 Nov 2022
Resisting Graph Adversarial Attack via Cooperative Homophilous
  Augmentation
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Zhihao Zhu
Chenwang Wu
Mingyang Zhou
Hao Liao
DefuLian
Enhong Chen
AAML
11
4
0
15 Nov 2022
Revisiting Heterophily For Graph Neural Networks
Revisiting Heterophily For Graph Neural Networks
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
44
181
0
14 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu
Lijun Zhang
Hui Guan
GNN
26
2
0
08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Wendong Bi
Lun Du
Qiang Fu
Yanlin Wang
Shi Han
Dongmei Zhang
24
27
0
17 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh V. Chawla
44
14
0
22 Aug 2022
Long Range Graph Benchmark
Long Range Graph Benchmark
Vijay Prakash Dwivedi
Ladislav Rampášek
Mikhail Galkin
Alipanah Parviz
Guy Wolf
A. Luu
Dominique Beaini
26
195
0
16 Jun 2022
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Haonan Wang
Jieyu Zhang
Qi Zhu
Wei Huang
30
31
0
11 Apr 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam
C. Ekbote
Manan Sharma
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
28
6
0
07 Dec 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via
  Distillation
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang
Yozen Liu
Yizhou Sun
Neil Shah
33
173
0
17 Oct 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node
  Classification?
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
41
112
0
12 Sep 2021
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
24
161
0
29 May 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 Sep 2019
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
152
0
23 Jul 2018
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
267
1,945
0
09 Jun 2018
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