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Open Graph Benchmark: Datasets for Machine Learning on Graphs
v1v2v3v4v5v6v7 (latest)

Open Graph Benchmark: Datasets for Machine Learning on Graphs

2 May 2020
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Open Graph Benchmark: Datasets for Machine Learning on Graphs"

50 / 1,644 papers shown
Title
From Node Interaction to Hop Interaction: New Effective and Scalable
  Graph Learning Paradigm
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Jie Chen
Zilong Li
Ying Zhu
Junping Zhang
Jian Pu
89
8
0
21 Nov 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory
  Perspective
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Yige Yuan
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Wen Zheng
Xueqi Cheng
77
13
0
20 Nov 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph
  Neural Networks via Reinforcement Learning
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Mingxuan Ju
Yujie Fan
Chuxu Zhang
Yanfang Ye
AAML
120
38
0
19 Nov 2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology
  and Multi-dimensional Edge Features
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features
Siyang Song
Yuxin Song
Cheng Luo
Zhiyuan Song
Selim Kuzucu
Xi Jia
Zhijiang Guo
Weicheng Xie
Linlin Shen
Hatice Gunes
75
25
0
19 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium
  Models
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models
Yi Luo
Guiduo Duan
Guangchun Luo
Aiguo Chen
79
2
0
19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need!
Tired of Over-smoothing? Stress Graph Drawing Is All You Need!
Xue Li
Yuanzhi Cheng
94
1
0
19 Nov 2022
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property
  Prediction
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
Adam Sanders
Hatem Helal
D. Beker
Ladislav Rampášek
Dominique Beaini
76
24
0
18 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz
James Harrison
C. Freeman
Amil Merchant
Lucas Beyer
...
Naman Agrawal
Ben Poole
Igor Mordatch
Adam Roberts
Jascha Narain Sohl-Dickstein
138
60
0
17 Nov 2022
Hierarchical Estimation for Effective and Efficient Sampling Graph
  Neural Network
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network
Yongbin Li
Bingbing Xu
Qi Cao
Yige Yuan
Huawei Shen
30
0
0
16 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
104
49
0
16 Nov 2022
Empirical Study on Optimizer Selection for Out-of-Distribution
  Generalization
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma
Kartik Ahuja
S. Takagi
Tetsuya Motokawa
Rio Yokota
Kohta Ishikawa
I. Sato
Ioannis Mitliagkas
OOD
93
7
0
15 Nov 2022
Adaptive Multi-Neighborhood Attention based Transformer for Graph
  Representation Learning
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning
Gaichao Li
Jinsong Chen
Kun He
46
3
0
15 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from
  Markov Chains Perspective
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
Weichen Zhao
Chenguang Wang
Congying Han
Tiande Guo
92
1
0
12 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86
  via Minibatch Sampling
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling
Md. Vasimuddin
Ramanarayan Mohanty
Sanchit Misra
Sasikanth Avancha
GNN
44
1
0
11 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from
  Histology Cell Graphs
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Claudia Vanea
Jonathan Campbell
Omri Dodi
L. Salumäe
K. Meir
...
H. Hochner
T. Laisk
L. Ernst
C. Lindgren
C. Nellåker
52
3
0
11 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin
Yurui Lai
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
115
27
0
10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
104
13
0
09 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu
Kaize Ding
Huan Liu
Shirui Pan
98
60
0
08 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
93
5
0
07 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a
  Magnifying Glass
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
Xin Huang
Jongryool Kim
Brad Rees
Chul-Ho Lee
GNN
45
4
0
06 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate
  Distribution Shift
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Yongduo Sui
Qitian Wu
Jiancan Wu
Daixin Wang
Longfei Li
An Zhang
Xiang Wang
Xiangnan He
OOD
119
36
0
05 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node
  Representations
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations
Giannis Nikolentzos
Michail Chatzianastasis
Michalis Vazirgiannis
55
8
0
04 Nov 2022
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous
  Graphs
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
Marios Papachristou
Rishab Goel
Frank Portman
M. Miller
Rong Jin
98
0
0
01 Nov 2022
Efficient Graph Neural Network Inference at Large Scale
Efficient Graph Neural Network Inference at Large Scale
Xin-pu Gao
Wentao Zhang
Yingxia Shao
Quoc Viet Hung Nguyen
Tengjiao Wang
Hongzhi Yin
AI4CEGNN
119
8
0
01 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Tengjiao Wang
Lei Chen
GNNAI4CE
127
65
0
01 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof
Lars Ruthotto
Eran Treister
96
23
0
31 Oct 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Kiarash Zahirnia
Oliver Schulte
Parmis Naddaf
Ke Li
96
10
0
30 Oct 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Antonio Longa
Steve Azzolin
G. Santin
G. Cencetti
Pietro Lio
Bruno Lepri
Andrea Passerini
111
31
0
27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
Weihua Hu
Kaidi Cao
Kexin Huang
E-Wen Huang
Karthik Subbian
Kenji Kawaguchi
J. Leskovec
87
0
0
26 Oct 2022
Learning on Large-scale Text-attributed Graphs via Variational Inference
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao
Meng Qu
Chaozhuo Li
Hao Yan
Qian Liu
Rui Li
Xing Xie
Jian Tang
VLM
132
142
0
26 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
M. F. Balin
Ümit V. Çatalyürek
85
17
0
24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration
Binary Graph Convolutional Network with Capacity Exploration
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
GNN
53
5
0
24 Oct 2022
Transformers over Directed Acyclic Graphs
Transformers over Directed Acyclic Graphs
Yu Luo
Veronika Thost
Lei Shi
GNNAI4CE
146
20
0
24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural
  Networks
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang
Qitian Wu
Junchi Yan
65
28
0
24 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
109
14
0
23 Oct 2022
Self-supervised Graph-based Point-of-interest Recommendation
Self-supervised Graph-based Point-of-interest Recommendation
Yongqian Li
Tong Chen
P. Zhang
Zi Huang
Hongzhi Yin
57
4
0
22 Oct 2022
Efficient Automatic Machine Learning via Design Graphs
Efficient Automatic Machine Learning via Design Graphs
Shirley Wu
Jiaxuan You
J. Leskovec
Rex Ying
GNN
63
1
0
21 Oct 2022
Graph Few-shot Learning with Task-specific Structures
Graph Few-shot Learning with Task-specific Structures
Song Wang
Chen Chen
Jundong Li
95
24
0
21 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
143
34
0
21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse
  Computations
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Helen Zhou
115
17
0
19 Oct 2022
Stability of Entropic Wasserstein Barycenters and application to random
  geometric graphs
Stability of Entropic Wasserstein Barycenters and application to random geometric graphs
Marc Theveneau
Nicolas Keriven
61
4
0
19 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
Jie Chen
Shouzhen Chen
Mingyuan Bai
Junbin Gao
Junping Zhang
Jian Pu
90
10
0
18 Oct 2022
Test-Time Training for Graph Neural Networks
Test-Time Training for Graph Neural Networks
Yiqi Wang
Chaozhuo Li
Wei Jin
Rui Li
Jianan Zhao
Jiliang Tang
Xing Xie
OOD
109
15
0
17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Yizhen Zheng
Yu Zheng
Xiaofei Zhou
Chen Gong
V. Lee
Shirui Pan
100
17
0
17 Oct 2022
Substructure-Atom Cross Attention for Molecular Representation Learning
Substructure-Atom Cross Attention for Molecular Representation Learning
Jiye G. Kim
Seungbeom Lee
Dongwoo Kim
SungSoo Ahn
Jaesik Park
52
4
0
15 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention
  Networks for Semi-supervised Learning
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Tiantian He
Haicang Zhou
Yew-Soon Ong
Gao Cong
GNN
133
4
0
14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and
  Rethinking
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan
Zirui Liu
Peihao Wang
Wenqing Zheng
Kaixiong Zhou
Tianlong Chen
Helen Zhou
Zhangyang Wang
GNN
99
58
0
14 Oct 2022
Inductive Logical Query Answering in Knowledge Graphs
Inductive Logical Query Answering in Knowledge Graphs
Mikhail Galkin
Zhaocheng Zhu
Hongyu Ren
Jian Tang
74
28
0
13 Oct 2022
Brain Network Transformer
Brain Network Transformer
Xuan Kan
Wei Dai
Hejie Cui
Zilong Zhang
Ying Guo
Carl Yang
MedIm
76
109
0
13 Oct 2022
Linkless Link Prediction via Relational Distillation
Linkless Link Prediction via Relational Distillation
Zhichun Guo
William Shiao
Shichang Zhang
Yozen Liu
Nitesh Chawla
Neil Shah
Tong Zhao
120
43
0
11 Oct 2022
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