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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
CIN++: Enhancing Topological Message Passing
CIN++: Enhancing Topological Message Passing
Lorenzo Giusti
Teodora Reu
Francesco Ceccarelli
Cristian Bodnar
Pietro Lio
GNN
108
10
0
06 Jun 2023
Explaining and Adapting Graph Conditional Shift
Explaining and Adapting Graph Conditional Shift
Qi Zhu
Yizhu Jiao
Natalia Ponomareva
Jiawei Han
Bryan Perozzi
OOD
75
10
0
05 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation
Structural Re-weighting Improves Graph Domain Adaptation
Shikun Liu
Tianchun Li
Yongbin Feng
Nhan Tran
Haiying Zhao
Qiu Qiang
Pan Li
OODAI4CE
81
39
0
05 Jun 2023
LibAUC: A Deep Learning Library for X-Risk Optimization
LibAUC: A Deep Learning Library for X-Risk Optimization
Zhuoning Yuan
Dixian Zhu
Zimeng Qiu
Gang Li
Xuanhui Wang
Tianbao Yang
BDL
118
16
0
05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed
  Graph-free Data
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
DD
120
69
0
05 Jun 2023
Adaptive Message Quantization and Parallelization for Distributed
  Full-graph GNN Training
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training
Borui Wan
Juntao Zhao
Chuan Wu
GNN
56
15
0
02 Jun 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size
  Fit All?
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao
Zhikai Chen
Wei Jin
Haoyu Han
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
118
36
0
02 Jun 2023
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
Jaeseung Heo
Seungbeom Lee
SungSoo Ahn
Dongwoo Kim
70
1
0
02 Jun 2023
Improving Energy Conserving Descent for Machine Learning: Theory and
  Practice
Improving Energy Conserving Descent for Machine Learning: Theory and Practice
G. Luca
Alice Gatti
E. Silverstein
71
1
0
01 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded
  Normalization
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Kaixuan Chen
Shunyu Liu
Tongtian Zhu
Tongya Zheng
Haofei Zhang
Zunlei Feng
Jingwen Ye
Mingli Song
135
16
0
31 May 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative
  Polynomials
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He
Zhewei Wei
Shi Feng
Zhengjie Huang
Weibin Li
Yu Sun
Dianhai Yu
79
10
0
31 May 2023
Bures-Wasserstein Means of Graphs
Bures-Wasserstein Means of Graphs
Isabel Haasler
P. Frossard
48
3
0
31 May 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced
  Text-Attributed Graph Representation Learning
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He
Xavier Bresson
T. Laurent
Adam Perold
Yann LeCun
Bryan Hooi
140
86
0
31 May 2023
Graph Entropy Minimization for Semi-supervised Node Classification
Graph Entropy Minimization for Semi-supervised Node Classification
Yi Luo
Guangchun Luo
Ke Qin
Aiguo Chen
68
0
0
31 May 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets
  Spiking Neural Networks
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li
Huizhe Zhang
Ruofan Wu
Zulun Zhu
Baokun Wang
Changhua Meng
Zibin Zheng
Liang Chen
SSL
68
9
0
30 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Wee Peng Tay
70
12
0
30 May 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning
  Benchmarks
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li
Miao Xiong
Bryan Hooi
78
7
0
30 May 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph
  Anomaly Detection
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Hezhe Qiao
Guansong Pang
139
30
0
29 May 2023
Learning Strong Graph Neural Networks with Weak Information
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu
Kaize Ding
Jianling Wang
V. Lee
Huan Liu
Shirui Pan
81
46
0
29 May 2023
Dink-Net: Neural Clustering on Large Graphs
Dink-Net: Neural Clustering on Large Graphs
Yue Liu
K. Liang
Jun Xia
Sihang Zhou
Xihong Yang
Xinwang Liu
Stan Z. Li
GNN
158
55
0
28 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu
Weitao Du
Zhiming Ma
Hongyu Guo
Jian Tang
107
33
0
28 May 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels
  on GPUs
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Yangjie Zhou
Yaoxu Song
Jingwen Leng
Zihan Liu
Weihao Cui
Zhendong Zhang
Cong Guo
Quan Chen
Li-Wei Li
Minyi Guo
GNN
77
2
0
27 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known
  Features
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um
Jiwoong Park
Seulki Park
Hawook Jeong
DiffM
75
17
0
26 May 2023
Unsupervised Embedding Quality Evaluation
Unsupervised Embedding Quality Evaluation
Anton Tsitsulin
Marina Munkhoeva
Bryan Perozzi
SSL
91
7
0
26 May 2023
Fast Online Node Labeling for Very Large Graphs
Fast Online Node Labeling for Very Large Graphs
Baojian Zhou
Yifan Sun
Reza Babanezhad
49
4
0
25 May 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models
How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte
Nicola Di Mauro
Robert Peharz
Antonio Vergari
83
16
0
25 May 2023
Towards Label Position Bias in Graph Neural Networks
Towards Label Position Bias in Graph Neural Networks
Haoyu Han
Xiaorui Liu
Feng Shi
MohamadAli Torkamani
Charu C. Aggarwal
Jiliang Tang
97
4
0
25 May 2023
Union Subgraph Neural Networks
Union Subgraph Neural Networks
Jiaxing Xu
Aihu Zhang
Qingtian Bian
Vijay Prakash Dwivedi
Yiping Ke
GNN
90
7
0
25 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Kha-Dinh Luong
Mert Kosan
A. Silva
Ambuj K. Singh
88
6
0
25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
Paiheng Xu
Yuhang Zhou
Bang An
Wei Ai
Furong Huang
138
6
0
25 May 2023
Size Generalization of Graph Neural Networks on Biological Data:
  Insights and Practices from the Spectral Perspective
Size Generalization of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective
Gao Li
Danai Koutra
Yujun Yan
31
1
0
24 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Helen Zhou
79
6
0
24 May 2023
GPT4Graph: Can Large Language Models Understand Graph Structured Data ?
  An Empirical Evaluation and Benchmarking
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
Jiayan Guo
Lun Du
Hengyu Liu
Mengyu Zhou
Xinyi He
Shi Han
AI4MH
96
167
0
24 May 2023
What functions can Graph Neural Networks compute on random graphs? The
  role of Positional Encoding
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven
Samuel Vaiter
77
12
0
24 May 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural
  Networks
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Peng Xu
Lin Zhang
Xuanzhou Liu
Jiaqi Sun
Yue Zhao
Haiqing Yang
Bei Yu
GNN
78
9
0
23 May 2023
On Structural Expressive Power of Graph Transformers
On Structural Expressive Power of Graph Transformers
Wenhao Zhu
Tianyu Wen
Guojie Song
Liangji Wang
Bo Zheng
72
15
0
23 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
96
29
0
23 May 2023
Link Prediction without Graph Neural Networks
Link Prediction without Graph Neural Networks
Zexi Huang
Mert Kosan
A. Silva
Ambuj K. Singh
112
3
0
23 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better
  and Simpler Choice towards Powerful Attention
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang
Jiyuan Chen
Lun Du
Qiang Fu
Shi Han
Xuan Song
CMLGNN
83
5
0
22 May 2023
PRODIGY: Enabling In-context Learning Over Graphs
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang
Hongyu Ren
Peng Chen
Gregor Krvzmanc
D. Zeng
Percy Liang
J. Leskovec
122
77
0
21 May 2023
Self-Explainable Graph Neural Networks for Link Prediction
Self-Explainable Graph Neural Networks for Link Prediction
Huaisheng Zhu
Dongsheng Luo
Xianfeng Tang
Junjie Xu
Hui Liu
Suhang Wang
64
1
0
21 May 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification
  via Predicted Instance Neighborhood Aggregation
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
86
10
0
21 May 2023
Learning Large Graph Property Prediction via Graph Segment Training
Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao
P. Phothilimthana
Sami Abu-El-Haija
Dustin Zelle
Yanqi Zhou
Charith Mendis
J. Leskovec
Bryan Perozzi
98
9
0
21 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
Yi Yang
Hejie Cui
Carl Yang
91
19
0
20 May 2023
Graph Propagation Transformer for Graph Representation Learning
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen
Hao Hao Tan
Tao Wang
Tianrun Shen
Tong Lu
Qiuying Peng
Cheng Cheng
Yue Qi
82
13
0
19 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving
  with Workload Awareness
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
Zeyuan Tan
Xiulong Yuan
Congjie He
Man-Kit Sit
Guo Li
Xiaoze Liu
Baole Ai
Kai Zeng
Peter R. Pietzuch
Kai Zou
GNN
56
17
0
18 May 2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Chenguang Du
Kaichun Yao
Hengshu Zhu
Deqing Wang
Fuzhen Zhuang
Hui Xiong
69
6
0
18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced
  Sum-Product Networks
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
97
5
0
17 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
131
71
0
17 May 2023
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning
  for Graph Transformer Networks
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
Anchun Gui
Jinqiang Ye
Han Xiao
80
22
0
17 May 2023
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