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A Large-Scale Database for Graph Representation Learning
v1v2v3 (latest)

A Large-Scale Database for Graph Representation Learning

16 November 2020
Scott Freitas
Yuxiao Dong
Joshua Neil
Duen Horng Chau
    PINNGNN
ArXiv (abs)PDFHTML

Papers citing "A Large-Scale Database for Graph Representation Learning"

37 / 37 papers shown
Title
HSG-12M: A Large-Scale Spatial Multigraph Dataset
Xianquan Yan
Hakan Akgün
Kenji Kawaguchi
N. Duane Loh
Ching Hua Lee
21
0
0
10 Jun 2025
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Atul Anand Gopalakrishnan
Jakir Hossain
Tugrulcan Elmas
Ahmet Erdem Sariyuce
GNN
101
1
0
01 Mar 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher
Ben Finkelshtein
Fabrizio Frasca
Luis Muller
Jan Tönshoff
...
Michael M. Bronstein
Mathias Niepert
Bryan Perozzi
Mikhail Galkin
Christopher Morris
OOD
243
7
0
21 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
234
0
0
13 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed
Andrew Cheng
Qiang Ye
Q. Cheng
GNN
104
0
0
01 Feb 2025
Web Scale Graph Mining for Cyber Threat Intelligence
Web Scale Graph Mining for Cyber Threat Intelligence
Scott Freitas
Amir Gharib
69
0
0
09 Nov 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection:
  Limitations and a Simple Remedy
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim
Soo Yong Lee
Fanchen Bu
Shinhwan Kang
Kyungho Kim
Jaemin Yoo
Kijung Shin
59
2
0
27 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
Hao Yan
Cuiping Li
Zhigang Yu
Jun Yin
Ruochen Liu
Peiyan Zhang
Weihao Han
Mingzheng Li
Zhengxin Zeng
60
0
0
11 Oct 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training
TorchGT: A Holistic System for Large-scale Graph Transformer Training
Mengdie Zhang
Jie Sun
Qi Hu
Peng Sun
Zeke Wang
Yonggang Wen
Tianwei Zhang
GNN
94
2
0
19 Jul 2024
AI-Driven Guided Response for Security Operation Centers with Microsoft
  Copilot for Security
AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Security
Scott Freitas
Jovan Kalajdjieski
Amir Gharib
Robert McCann
61
5
0
12 Jul 2024
A Scalable and Effective Alternative to Graph Transformers
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak
Zhigang Hua
Jin Fang
Yan Xie
Andrey Malevich
Bo Long
M. F. Balin
Ümit V. Çatalyürek
90
1
0
17 Jun 2024
What Can We Learn from State Space Models for Machine Learning on
  Graphs?
What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan Huang
Siqi Miao
Pan Li
90
8
0
09 Jun 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Joshua Southern
Francesco Di Giovanni
Michael M. Bronstein
J. Lutzeyer
139
1
0
22 May 2024
PowerGraph: A power grid benchmark dataset for graph neural networks
PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella
Kenza Amara
B. Gjorgiev
Mennatallah El-Assady
G. Sansavini
46
9
0
05 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective
  State Spaces
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe X. Wang
Oleksii Tsepa
Jun Ma
Bo Wang
Mamba
97
95
0
01 Feb 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
100
5
0
11 Jan 2024
View-based Explanations for Graph Neural Networks
View-based Explanations for Graph Neural Networks
Tingyang Chen
Dazhuo Qiu
Yinghui Wu
Arijit Khan
Xiangyu Ke
Yunjun Gao
94
10
0
04 Jan 2024
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations
  for Accident Analysis
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
Abhinav Nippani
Dongyue Li
Haotian Ju
Haris N. Koutsopoulos
Hongyang R. Zhang
GNN
121
8
0
31 Oct 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor
  Computational Graphs
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
P. Phothilimthana
Sami Abu-El-Haija
Kaidi Cao
Bahare Fatemi
Mike Burrows
Charith Mendis
Bryan Perozzi
GNNAI4TS
123
20
0
25 Aug 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
85
9
0
21 May 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
92
28
0
28 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification
A Comparison of Graph Neural Networks for Malware Classification
Vrinda Malhotra
Katerina Potika
Mark Stamp
56
6
0
22 Mar 2023
Exphormer: Sparse Transformers for Graphs
Exphormer: Sparse Transformers for Graphs
Hamed Shirzad
A. Velingker
B. Venkatachalam
Danica J. Sutherland
A. Sinop
76
118
0
10 Mar 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Hongzhi Zhang
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio
GNNAI4CE
125
15
0
14 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
115
98
0
27 Dec 2022
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for
  Approximating Reynolds-Averaged Navier-Stokes Solutions
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions
F. Bonnet
Jocelyn Ahmed Mazari
Paola Cinnella
Patrick Gallinari
AI4CE
106
60
0
15 Dec 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
124
65
0
01 Nov 2022
Transformers over Directed Acyclic Graphs
Transformers over Directed Acyclic Graphs
Yu Luo
Veronika Thost
Lei Shi
GNNAI4CE
141
20
0
24 Oct 2022
Evaluating Explainability for Graph Neural Networks
Evaluating Explainability for Graph Neural Networks
Chirag Agarwal
Owen Queen
Himabindu Lakkaraju
Marinka Zitnik
96
112
0
19 Aug 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static
  Attributed Graphs
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu
Yingtong Dou
Yue Zhao
Xueying Ding
Xiyang Hu
...
Lichao Sun
Jundong Li
George H. Chen
Zhihao Jia
Philip S. Yu
OOD
101
98
0
21 Jun 2022
Long Range Graph Benchmark
Long Range Graph Benchmark
Vijay Prakash Dwivedi
Ladislav Rampášek
Mikhail Galkin
Alipanah Parviz
Guy Wolf
Anh Tuan Luu
Dominique Beaini
94
219
0
16 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning
Taxonomy of Benchmarks in Graph Representation Learning
Renming Liu
Semih Cantürk
Frederik Wenkel
Sarah McGuire
Devin Kreuzer
...
Michael Perlmutter
Bastian Rieck
M. Hirn
Guy Wolf
Ladislav Rampášek
OOD
86
15
0
15 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-level Neural Networks: Current Progress and Future Directions
Ge Zhang
Hongzhi Zhang
Jian Yang
Shan Xue
Wenbin Hu
Chuan Zhou
Hao Peng
Quan.Z Sheng
Charu C. Aggarwal
GNNAI4CE
100
0
0
31 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
Anh Tuan Luu
Guy Wolf
Dominique Beaini
172
581
0
25 May 2022
Graph Neural Network-based Android Malware Classification with Jumping
  Knowledge
Graph Neural Network-based Android Malware Classification with Jumping Knowledge
Wai Weng Lo
S. Layeghy
Mohanad Sarhan
Marcus Gallagher
Marius Portmann
79
19
0
19 Jan 2022
Computing Graph Descriptors on Edge Streams
Computing Graph Descriptors on Edge Streams
Zohair Raza Hassan
Sarwan Ali
Imdadullah Khan
Mudassir Shabbir
W. Abbas
63
7
0
02 Sep 2021
MalNet: A Large-Scale Image Database of Malicious Software
MalNet: A Large-Scale Image Database of Malicious Software
Scott Freitas
Rahul Duggal
Duen Horng Chau
62
31
0
31 Jan 2021
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