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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
Non-backtracking Graph Neural Networks
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
SungSoo Ahn
84
4
0
11 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction
Atom-Motif Contrastive Transformer for Molecular Property Prediction
Wentao Yu
Shuo Chen
Chen Gong
Gang Niu
Masashi Sugiyama
ViT
73
2
0
11 Oct 2023
Exponential Quantum Communication Advantage in Distributed Inference and
  Learning
Exponential Quantum Communication Advantage in Distributed Inference and Learning
H. Michaeli
D. Gilboa
Daniel Soudry
Jarrod R. McClean
FedML
34
1
0
11 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
97
25
0
10 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning
Nonlinear Correct and Smooth for Semi-Supervised Learning
Yuanhang Shao
Xiuwen Liu
62
1
0
09 Oct 2023
GSLB: The Graph Structure Learning Benchmark
GSLB: The Graph Structure Learning Benchmark
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
...
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
104
37
0
08 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics
How Graph Neural Networks Learn: Lessons from Training Dynamics
Chenxiao Yang
Qitian Wu
David Wipf
Ruoyu Sun
Junchi Yan
AI4CEGNN
66
1
0
08 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A Survey
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
99
21
0
08 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
71
4
0
08 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on
  Understanding Graph Data
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Yuntong Hu
Zhengwu Zhang
Liang Zhao
GNN
89
24
0
07 Oct 2023
Label-free Node Classification on Graphs with Large Language Models
  (LLMS)
Label-free Node Classification on Graphs with Large Language Models (LLMS)
Zhikai Chen
Haitao Mao
Hongzhi Wen
Haoyu Han
Wei Jin
Haiyang Zhang
Hui Liu
Jiliang Tang
105
86
0
07 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction
  Performance
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
Yu Wang
Tong Zhao
Yuying Zhao
Yunchao Liu
Xueqi Cheng
Neil Shah
Hanyu Wang
81
10
0
06 Oct 2023
Latent Graph Inference with Limited Supervision
Latent Graph Inference with Limited Supervision
Jianglin Lu
Yi Tian Xu
Huan Wang
Yue Bai
Yun Fu
75
5
0
06 Oct 2023
Towards Foundational Models for Molecular Learning on Large-Scale
  Multi-Task Datasets
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini
Shenyang Huang
Joao Alex Cunha
Zhiyi Li
Gabriela Moisescu-Pareja
...
Thérence Bois
Andrew Fitzgibbon
Bla.zej Banaszewski
Chad Martin
Dominic Masters
AI4CE
120
25
0
06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
T. Lucas Makinen
Justin Alsing
Benjamin Dan Wandelt
GNNFedML
65
3
0
05 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian
Daniel Daza
Emile van Krieken
Thiviyan Thanapalasingam
Peter Bloem
59
6
0
05 Oct 2023
Certifiably Robust Graph Contrastive Learning
Certifiably Robust Graph Contrastive Learning
Min Lin
Teng Xiao
Enyan Dai
Xiang Zhang
Suhang Wang
AAML
64
6
0
05 Oct 2023
MLAgentBench: Evaluating Language Agents on Machine Learning
  Experimentation
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
Qian Huang
Jian Vora
Percy Liang
J. Leskovec
ELMLLMAG
79
96
0
05 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs
Fragment-based Pretraining and Finetuning on Molecular Graphs
Kha-Dinh Luong
Ambuj Singh
AI4CE
75
12
0
05 Oct 2023
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical
  Knowledge Graphs
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
Yijia Xiao
Dylan Steinecke
Alexander R. Pelletier
Yushi Bai
Peipei Ping
Wei Wang
81
0
0
05 Oct 2023
Towards out-of-distribution generalizable predictions of chemical
  kinetics properties
Towards out-of-distribution generalizable predictions of chemical kinetics properties
Zihao Wang
Yongqiang Chen
Yang Duan
Weijiang Li
Bo Han
James Cheng
Hanghang Tong
OOD
88
6
0
04 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke
Zorah Lähner
106
11
0
03 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian
Andrei Manolache
Kareem Ahmed
Zhe Zeng
Guy Van den Broeck
Mathias Niepert
Christopher Morris
150
15
0
03 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with
  Filter Augmentations
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
C. Ekbote
Ajinkya Deshpande
Arun Shankar Iyer
Ramakrishna Bairi
Sundararajan Sellamanickam
SSL
77
5
0
03 Oct 2023
Transformers are efficient hierarchical chemical graph learners
Transformers are efficient hierarchical chemical graph learners
Zihan Pengmei
Zimu Li
Chih-chan Tien
Risi Kondor
Aaron R Dinner
GNN
48
2
0
02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural
  Networks
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker
Chester Tan
Ingo Scholtes
95
1
0
02 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale
  Graphs with In-memory Performance
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance
Jie Sun
Mo Sun
Zheng Zhang
Jun Xie
Zuocheng Shi
Zihan Yang
Jie Zhang
Leilei Gan
Zeke Wang
GNN
60
5
0
02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via
  Test-time Augmentation
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
Mingxuan Ju
Tong Zhao
Wenhao Yu
Neil Shah
Yanfang Ye
93
16
0
01 Oct 2023
Revisiting Link Prediction: A Data Perspective
Revisiting Link Prediction: A Data Perspective
Haitao Mao
Juanhui Li
Harry Shomer
Bingheng Li
Wenqi Fan
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
118
30
0
01 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke
Abhishek Saroha
Yuesong Shen
Marvin Eisenberger
Zorah Lähner
GNN
59
1
0
30 Sep 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous
  networks
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo
Matteo Zignani
S. Gaito
128
1
0
30 Sep 2023
One for All: Towards Training One Graph Model for All Classification
  Tasks
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
109
132
0
29 Sep 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu
Jeehyun Hwang
Keir Adams
Zhen Liu
B. Nan
...
Olaf Wiest
Olexandr Isayev
Connor W. Coley
Yizhou Sun
Wei Wang
80
7
0
29 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal
  Biological Graph Data
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Tianyu Liu
Yuge Wang
Rex Ying
Hongyu Zhao
119
15
0
29 Sep 2023
Can LLMs Effectively Leverage Graph Structural Information through
  Prompts, and Why?
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
Jin Huang
Xingjian Zhang
Qiaozhu Mei
Jiaqi Ma
87
15
0
28 Sep 2023
Navigating Healthcare Insights: A Birds Eye View of Explainability with
  Knowledge Graphs
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Satvik Garg
Anh Nguyen
Somya Garg
83
2
0
28 Sep 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge
  Distillation
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
97
11
0
28 Sep 2023
GNNHLS: Evaluating Graph Neural Network Inference via High-Level
  Synthesis
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis
Chen Zhao
Zehao Dong
Yixin Chen
Xuan Zhang
Roger D. Chamberlain
GNN
80
2
0
27 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi
Jie Wang
Fanghua Lu
Hanzhu Chen
Defu Lian
Zheng Wang
Jieping Ye
Feng Wu
AI4CE
89
6
0
26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
178
15
0
25 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians
  on Simplicial Complexes
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang
Yujie Zeng
Qiang Wu
Linyuan Lu
74
19
0
22 Sep 2023
On Separate Normalization in Self-supervised Transformers
On Separate Normalization in Self-supervised Transformers
Xiaohui Chen
Yinkai Wang
Yuanqi Du
S. Hassoun
Liping Liu
ViT
68
2
0
22 Sep 2023
Activation Compression of Graph Neural Networks using Block-wise
  Quantization with Improved Variance Minimization
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization
Sebastian Eliassen
Raghavendra Selvan
GNN
100
4
0
21 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs
Article Classification with Graph Neural Networks and Multigraphs
Khang Ly
Yury Kashnitsky
Savvas Chamezopoulos
Valeria Krzhizhanovskaya
62
0
0
20 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Towards Data-centric Graph Machine Learning: Review and Outlook
Xin Zheng
Yixin Liu
Zhifeng Bao
Meng Fang
Xia Hu
Alan Wee-Chung Liew
Shirui Pan
GNNAI4CE
102
20
0
20 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method
  for Few-shot Node Tasks
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
OffRL
70
5
0
19 Sep 2023
Deep Prompt Tuning for Graph Transformers
Deep Prompt Tuning for Graph Transformers
Reza Shirkavand
Heng-Chiao Huang
57
7
0
18 Sep 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural
  Networks
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan
Ruofan Wu
Tengfei Liu
Tianyi Zhang
Yifei Zhu
Weiqiang Wang
FedML
108
9
0
18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
110
42
0
18 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings
Recovering Missing Node Features with Local Structure-based Embeddings
Victor M. Tenorio
Madeline Navarro
Santiago Segarra
Antonio G. Marques
74
5
0
16 Sep 2023
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