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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
Intrinsic Dimension for Large-Scale Geometric Learning
Intrinsic Dimension for Large-Scale Geometric Learning
Maximilian Stubbemann
Tom Hanika
Friedrich Martin Schneider
PINN
88
5
0
11 Oct 2022
Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for
  Deep Learning Models
Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for Deep Learning Models
Jooyoung Park
DoangJoo Synn
XinYu Piao
Jong-Kook Kim
42
0
0
11 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
74
2
0
08 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
Jaemin Yoo
Meng-Chieh Lee
Shubhranshu Shekhar
Christos Faloutsos
140
8
0
08 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
162
93
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
144
64
0
07 Oct 2022
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
150
57
0
06 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge
  Distillation
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation
Lirong Wu
Yufei Huang
Haitao Lin
Zicheng Liu
Tianyu Fan
Stan Z. Li
SSL
104
5
0
05 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju
Tong Zhao
Qianlong Wen
Wenhao Yu
Neil Shah
Yanfang Ye
Chuxu Zhang
SSL
78
37
0
05 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation
A Framework for Large Scale Synthetic Graph Dataset Generation
Sajad Darabi
P. Bigaj
Dawid Majchrowski
Artur Kasymov
Pawel M. Morkisz
A. Fit-Florea
110
4
0
04 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient
  Link Prediction
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Zixiao Wang
Yuluo Guo
Jin Zhao
Yu Zhang
Hui Yu
Xiaofei Liao
Biao Wang
Ting Yu
DiffMGNN
119
7
0
04 Oct 2022
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
Kyriakos Schwarz
A. Pliego-Mendieta
Amina Mollaysa
Lara Planas-Paz
C. Pauli
Ahmed Allam
Michael Krauthammer
GNN
36
2
0
03 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
101
51
0
02 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via
  Broad-Scale Discrepancies
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Xue Liu
Dan Sun
X. Cao
Hao Ye
Wei Wei
74
0
0
02 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph
  Representation Learning
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang
Chao Huang
Yijun Tian
Qianlong Wen
Z. Ouyang
Youhuan Li
Yanfang Ye
Chuxu Zhang
69
8
0
01 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Helen Zhou
Neil Shah
GNN
142
39
0
30 Sep 2022
Contrastive Graph Few-Shot Learning
Contrastive Graph Few-Shot Learning
Chunhui Zhang
Hongfu Liu
Jundong Li
Yanfang Ye
Chuxu Zhang
75
1
0
30 Sep 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching
Graph Neural Networks for Link Prediction with Subgraph Sketching
B. Chamberlain
S. Shirobokov
Emanuele Rossi
Fabrizio Frasca
Thomas Markovich
Nils Y. Hammerla
Michael M. Bronstein
Max Hansmire
133
85
0
30 Sep 2022
Construction and Applications of Billion-Scale Pre-Trained Multimodal
  Business Knowledge Graph
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
Shumin Deng
Chengming Wang
Zhoubo Li
Ningyu Zhang
Zelin Dai
...
Mosha Chen
Jiaoyan Chen
Jeff Z. Pan
Bryan Hooi
Huajun Chen
VLM
117
22
0
30 Sep 2022
Domain Generalization -- A Causal Perspective
Domain Generalization -- A Causal Perspective
Paras Sheth
Raha Moraffah
K. S. Candan
A. Raglin
Huan Liu
CMLOOD
134
17
0
30 Sep 2022
Improving Molecular Pretraining with Complementary Featurizations
Improving Molecular Pretraining with Complementary Featurizations
Yanqiao Zhu
Dingshuo Chen
Yuanqi Du
Yingze Wang
Qiang Liu
Shu Wu
AI4CE
70
7
0
29 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks
How Powerful is Implicit Denoising in Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lu Lin
Jinghui Chen
Di Wu
GNNAI4CE
91
3
0
29 Sep 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal
  Substructure
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan
Xiao Wang
Yanhu Mo
Chuan Shi
Jian Tang
CMLOODAI4CE
132
97
0
28 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
103
16
0
28 Sep 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks
Efficient Non-Parametric Optimizer Search for Diverse Tasks
Ruochen Wang
Yuanhao Xiong
Minhao Cheng
Cho-Jui Hsieh
102
5
0
27 Sep 2022
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation
  Embedding
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
88
10
0
23 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks
Sparse Vicious Attacks on Graph Neural Networks
Giovanni Trappolini
Valentino Maiorca
Silvio Severino
Emanuele Rodolà
Fabrizio Silvestri
Gabriele Tolomei
AAML
62
8
0
20 Sep 2022
Revisiting Embeddings for Graph Neural Networks
Revisiting Embeddings for Graph Neural Networks
S. Purchase
A. Zhao
Robert D. Mullins
72
3
0
19 Sep 2022
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
Long Yu
Zhi-Ping Luo
Huanyong Liu
Deng Lin
Hongzhu Li
Yafeng Deng
84
18
0
17 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders
Flashlight: Scalable Link Prediction with Effective Decoders
Yiwei Wang
Bryan Hooi
Yozen Liu
Tong Zhao
Zhichun Guo
Neil Shah
BDL
122
6
0
17 Sep 2022
SPGP: Structure Prototype Guided Graph Pooling
SPGP: Structure Prototype Guided Graph Pooling
Sangseon Lee
Dohoon Lee
Yinhua Piao
Sun Kim
62
1
0
16 Sep 2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and
  Local Complementarity
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Fuchun Sun
Farid Razzak
Ji-Rong Wen
Hui Xiong
108
7
0
16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction
Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen
Z. Ouyang
Chunhui Zhang
Yiyue Qian
Yanfang Ye
Chuxu Zhang
SSL
82
6
0
16 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel
  Communication-Computation Pipelining on Multi-GPU Platforms
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
Yuke Wang
Boyuan Feng
Zheng Wang
Tong Geng
Kevin J. Barker
Ang Li
Yufei Ding
GNN
121
29
0
14 Sep 2022
Towards Better Generalization with Flexible Representation of
  Multi-Module Graph Neural Networks
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks
Hyungeun Lee
Kijung Yoon
AI4CE
82
2
0
14 Sep 2022
Efficient multi-relational network representation using primes
Efficient multi-relational network representation using primes
K. Bougiatiotis
George Giannakopoulos
78
1
0
14 Sep 2022
Graph Contrastive Learning with Personalized Augmentation
Graph Contrastive Learning with Personalized Augmentation
Xinyu Zhang
Qiaoyu Tan
Xiao Shi Huang
Yue Liu
102
18
0
14 Sep 2022
Tuple Packing: Efficient Batching of Small Graphs in Graph Neural
  Networks
Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks
M. M. Krell
Manuel Lopez Roldan
Sreenidhi Anand
Hatem Helal
Andrew William Fitzgibbon
30
0
0
14 Sep 2022
Characterizing Graph Datasets for Node Classification:
  Homophily-Heterophily Dichotomy and Beyond
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Oleg Platonov
Denis Kuznedelev
Artem Babenko
Liudmila Prokhorenkova
152
45
0
13 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNNAI4CE
154
28
0
12 Sep 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Fuchun Sun
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
142
114
0
12 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate
  Graph Neural Networks
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
71
1
0
07 Sep 2022
A Class-Aware Representation Refinement Framework for Graph
  Classification
A Class-Aware Representation Refinement Framework for Graph Classification
Jiaxing Xu
Jinjie Ni
Yiping Ke
GNN
69
4
0
02 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
Rethinking Efficiency and Redundancy in Training Large-scale Graphs
Xin Liu
Xunbin Xiong
Yurui Lai
Runzhen Xue
Shirui Pan
Xiaochun Ye
Xiaochun Ye
92
1
0
02 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed
  Subgraphs
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Dongkwan Kim
Jiho Jin
Jaimeen Ahn
Alice Oh
121
3
0
01 Sep 2022
Fraud Dataset Benchmark and Applications
Fraud Dataset Benchmark and Applications
P. Grover
Ju Xu
Justin Tittelfitz
Anqi Cheng
Zheng Li
Jakub Zablocki
Jianbo Liu
Hao Zhou
AAML
50
6
0
30 Aug 2022
Data Augmentation for Graph Data: Recent Advancements
Data Augmentation for Graph Data: Recent Advancements
Maria Marrium
Arif Mahmood
57
7
0
25 Aug 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 Chawla
107
14
0
22 Aug 2022
Relational Self-Supervised Learning on Graphs
Relational Self-Supervised Learning on Graphs
Namkyeong Lee
Dongmin Hyun
Junseok Lee
Chanyoung Park
SSL
64
24
0
21 Aug 2022
From Static to Dynamic Structures: Improving Binding Affinity Prediction
  with a Graph-Based Deep Learning Model
From Static to Dynamic Structures: Improving Binding Affinity Prediction with a Graph-Based Deep Learning Model
Yaosen Min
Ye Wei
Peizhuo Wang
Xiao-tong Wang
Han Li
...
Yu Shi
Yingheng Wang
Ji Wu
Dan Zhao
Jianyang Zeng
AI4CE
100
4
0
19 Aug 2022
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