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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
Parameter-Efficient Tuning Large Language Models for Graph
  Representation Learning
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
Qi Zhu
Da Zheng
Xiang Song
Shichang Zhang
Bowen Jin
Yizhou Sun
George Karypis
92
2
0
28 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng Zhang
71
4
0
28 Apr 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to
  Node Feature Attacks
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine Abbahaddou
Sofiane Ennadir
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAMLOOD
93
7
0
27 Apr 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks
  with FROND
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Qiyu Kang
Kai Zhao
Qinxu Ding
Feng Ji
Xuhao Li
Wenfei Liang
Yang Song
Wee Peng Tay
156
10
0
26 Apr 2024
Knowledge Graph Completion using Structural and Textual Embeddings
Knowledge Graph Completion using Structural and Textual Embeddings
S. Alqaaidi
Krzysztof J. Kochut
71
0
0
24 Apr 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
Chuang Liu
Yuyao Wang
Yibing Zhan
Xueqi Ma
Dapeng Tao
Hongzhi Zhang
Wenbin Hu
99
5
0
24 Apr 2024
Gradformer: Graph Transformer with Exponential Decay
Gradformer: Graph Transformer with Exponential Decay
Chuang Liu
Zelin Yao
Yibing Zhan
Xueqi Ma
Shirui Pan
Wenbin Hu
95
4
0
24 Apr 2024
$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular
  Learning
MiniMol\texttt{MiniMol}MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
Kerstin Klaser
Bla.zej Banaszewski
S. Maddrell-Mander
Callum McLean
Luis Muller
Alipanah Parviz
Shenyang Huang
Andrew Fitzgibbon
AI4CE
87
5
0
23 Apr 2024
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
Wenbo Shang
Xin Huang
124
9
0
23 Apr 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph
  Federated Learning
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
Yinlin Zhu
Miao Hu
Zhengyu Wu
Di Wu
Di Wu
Ronghua Li
FedML
121
9
0
22 Apr 2024
Test-Time Training on Graphs with Large Language Models (LLMs)
Test-Time Training on Graphs with Large Language Models (LLMs)
Jiaxin Zhang
Yiqi Wang
Xihong Yang
Siwei Wang
Yu Feng
Yu Shi
Ruicaho Ren
En Zhu
Xinwang Liu
91
3
0
21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
GRANOLA: Adaptive Normalization for Graph Neural Networks
Moshe Eliasof
Beatrice Bevilacqua
Carola-Bibiane Schönlieb
Haggai Maron
112
5
0
20 Apr 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge
  Bases
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Shirley Wu
Shiyu Zhao
Michihiro Yasunaga
Kexin Huang
Kaidi Cao
Qian Huang
V. Ioannidis
Karthik Subbian
James Zou
J. Leskovec
96
20
0
19 Apr 2024
CORE: Data Augmentation for Link Prediction via Information Bottleneck
CORE: Data Augmentation for Link Prediction via Information Bottleneck
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
47
0
0
17 Apr 2024
You do not have to train Graph Neural Networks at all on text-attributed
  graphs
You do not have to train Graph Neural Networks at all on text-attributed graphs
Kaiwen Dong
Zhichun Guo
Nitesh Chawla
105
1
0
17 Apr 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
Noah Lewis
J. L. Bez
Suren Byna
109
0
0
16 Apr 2024
Progressive Knowledge Graph Completion
Progressive Knowledge Graph Completion
Jiayi Li
Ruilin Luo
Jiaqi Sun
Jing Xiao
Yujiu Yang
95
1
0
15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional
  Networks
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
Haimin Zhang
Min Xu
108
3
0
15 Apr 2024
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
Guoming Li
Jian Yang
Shangsong Liang
Dongsheng Luo
47
0
0
15 Apr 2024
GNNavigator: Towards Adaptive Training of Graph Neural Networks via
  Automatic Guideline Exploration
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
Tong Qiao
Jianlei Yang
Yingjie Qi
Ao Zhou
Chen Bai
Bei Yu
Weisheng Zhao
Chunming Hu
75
1
0
15 Apr 2024
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes
  Enhance Protein Binding Site Identification
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak
Lisa Schneckenreiter
Johannes Brandstetter
Sepp Hochreiter
Andreas Mayr
Günter Klambauer
110
12
0
10 Apr 2024
Temporal Generalization Estimation in Evolving Graphs
Temporal Generalization Estimation in Evolving Graphs
Bin Lu
Tingyan Ma
Xiaoying Gan
Xinbing Wang
Yunqiang Zhu
Cheng Zhou
Shiyu Liang
63
1
0
07 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution
Spectral GNN via Two-dimensional (2-D) Graph Convolution
Guoming Li
Jian Yang
Shangsong Liang
Dongsheng Luo
GNN
93
3
0
06 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order
  Graph Transformers
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
Cai Zhou
Rose Yu
Yusu Wang
108
7
0
04 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient
  Segment Reduction on GPU
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Zhongming Yu
Genghan Zhang
Hanxian Huang
Xin Chen
Jishen Zhao
GNN
80
0
0
03 Apr 2024
Novel Node Category Detection Under Subpopulation Shift
Novel Node Category Detection Under Subpopulation Shift
Hsing-Huan Chung
Shravan Chaudhari
Yoav Wald
Xing Han
Joydeep Ghosh
100
1
0
01 Apr 2024
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
Weihua Hu
Yiwen Yuan
Zecheng Zhang
Akihiro Nitta
Kaidi Cao
Vid Kocijan
J. Leskovec
Matthias Fey
LMTD
76
16
0
31 Mar 2024
Graph Neural Aggregation-diffusion with Metastability
Graph Neural Aggregation-diffusion with Metastability
Kaiyuan Cui
Xinyan Wang
Zicheng Zhang
Weichen Zhao
102
2
0
29 Mar 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded
  Graph Neural Networks
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang
Jiaming Yang
Wei Hu
Michal Dereziñski
90
0
0
26 Mar 2024
A Unified CPU-GPU Protocol for GNN Training
A Unified CPU-GPU Protocol for GNN Training
Yi-Chien Lin
Gangda Deng
Viktor Prasanna
GNN3DH
52
2
0
25 Mar 2024
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction
  with Unsupervised SMILES Alignment
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment
Kaipeng Zeng
Bo Yang
Xin Zhao
Yu Zhang
Fan Nie
Xiaokang Yang
Yaohui Jin
Yanyan Xu
86
7
0
25 Mar 2024
ChebMixer: Efficient Graph Representation Learning with MLP Mixer
ChebMixer: Efficient Graph Representation Learning with MLP Mixer
Xiaoyan Kui
Haonan Yan
Qinsong Li
Liming Chen
Beiji Zou
59
0
0
25 Mar 2024
Graphs Generalization under Distribution Shifts
Graphs Generalization under Distribution Shifts
Qin Tian
Wenjun Wang
Chen Zhao
Minglai Shao
Wang Zhang
Dong Li
OOD
93
2
0
25 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu
Zhigang Hua
Yan Xie
Jin Fang
Si Zhang
Kaan Sancak
Hao Wu
Andrey Malevich
Jingrui He
Bo Long
122
25
0
24 Mar 2024
Simple Graph Condensation
Simple Graph Condensation
Zhenbang Xiao
Yu Wang
Shunyu Liu
Huiqiong Wang
Mingli Song
Tongya Zheng
DD
148
8
0
22 Mar 2024
Exploring the Potential of Large Language Models in Graph Generation
Exploring the Potential of Large Language Models in Graph Generation
Yang Yao
Xin Eric Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Xu Chu
Yuekui Yang
Wenwu Zhu
Hong-yan Mei
89
13
0
21 Mar 2024
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph
  Attention
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
Yundong Sun
Dongjie Zhu
Yansong Wang
Zhaoshuo Tian
Ning Cao
Gregory O'Hared
64
2
0
21 Mar 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
154
2
0
19 Mar 2024
Open-World Semi-Supervised Learning for Node Classification
Open-World Semi-Supervised Learning for Node Classification
Yanling Wang
Jing Zhang
Lingxi Zhang
Lixin Liu
Yuxiao Dong
Cuiping Li
Hong Chen
Hongzhi Yin
BDL
82
1
0
18 Mar 2024
Layer-diverse Negative Sampling for Graph Neural Networks
Layer-diverse Negative Sampling for Graph Neural Networks
Wei Duan
Jie Lu
Yu Guang Wang
Junyu Xuan
80
5
0
18 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation
  on Graph Neural Network Research
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
Tobias Hille
Maximilian Stubbemann
Tom Hanika
AI4CE
60
0
0
13 Mar 2024
Fast Inference of Removal-Based Node Influence
Fast Inference of Removal-Based Node Influence
Weikai Li
Zhiping Xiao
Xiao Luo
Yizhou Sun
AAML
78
1
0
13 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace
  Approach
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang
Wencai Cao
Hoang Ta
Xiaokui Xiao
Pietro Lio
133
6
0
12 Mar 2024
UniSparse: An Intermediate Language for General Sparse Format
  Customization
UniSparse: An Intermediate Language for General Sparse Format Customization
Jie Liu
Zhongyuan Zhao
Zijian Ding
Benjamin Brock
Hongbo Rong
Zhiru Zhang
50
3
0
09 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and
  Efficient Modeling
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
Hussein Abdallah
Waleed Afandi
Panos Kalnis
Essam Mansour
70
3
0
09 Mar 2024
Benchmarking Large Language Models for Molecule Prediction Tasks
Benchmarking Large Language Models for Molecule Prediction Tasks
Zhiqiang Zhong
Kuangyu Zhou
Davide Mottin
73
9
0
08 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled
  Self-supervision
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
Zeyang Zhang
Xin Eric Wang
Ziwei Zhang
Guangyao Shen
Shiqi Shen
Wenwu Zhu
102
12
0
08 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural
  Networks
On the Topology Awareness and Generalization Performance of Graph Neural Networks
Junwei Su
Chuan Wu
AI4CE
74
0
0
07 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message
  Passing and Hyperbolic Neural Networks
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu
Dongmian Zou
81
3
0
06 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster
  Generalization
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia
Xiao Wang
Nian Liu
Chuan Shi
94
11
0
06 Mar 2024
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