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IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
27 February 2023
Arpandeep Khatua
Vikram Sharma Mailthody
Bhagyashree Taleka
Tengfei Ma
Xiang Song
Wen-mei W. Hwu
AI4CE
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Papers citing
"IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research"
27 / 27 papers shown
Title
Efficient Mixed Precision Quantization in Graph Neural Networks
Samir Moustafa
Nils M. Kriege
Wilfried Gansterer
GNN
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0
0
14 May 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
30
0
0
25 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Zichao Yue
Chenhui Deng
Zhiru Zhang
AI4CE
27
0
0
17 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
Zongyue Qin
Shichang Zhang
Mingxuan Ju
Tong Zhao
Neil Shah
Yizhou Sun
21
0
0
08 Apr 2025
FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores
Jinliang Shi
Shigang Li
Youxuan Xu
Rongtian Fu
Xueying Wang
Tong Wu
70
3
0
15 Dec 2024
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
Yunhui Liu
Qizhuo Xie
Jinwei Shi
Jiaxu Shen
Tieke He
67
0
0
12 Dec 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers
Chen Zhuang
Peng Chen
Xin Liu
Rio Yokota
Nikoli Dryden
Toshio Endo
Satoshi Matsuoka
M. Wahib
GNN
62
0
0
25 Nov 2024
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
Yunhui Liu
Xinyi Gao
Tieke He
Jianhua Zhao
Hongzhi Yin
56
1
0
21 Nov 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
Zeyu Zhu
Peisong Wang
Qinghao Hu
Gang Li
Xiaoyao Liang
Jian Cheng
GNN
27
1
0
23 Sep 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Yuchen Zhong
Junwei Su
Chuan Wu
Minjie Wang
26
1
0
19 Aug 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
Jeongmin Brian Park
Kun Wu
Vikram Sharma Mailthody
Zaid Quresh
Scott Mahlke
Wen-mei W. Hwu
GNN
25
0
0
21 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
33
1
0
15 Jul 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
Renjie Liu
Yichuan Wang
Xiao Yan
Zhenkun Cai
Minjie Wang
Haitian Jiang
Bo Tang
Jinyang Li
GNN
37
2
0
08 May 2024
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Xunkai Li
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Bin Cui
GNN
34
3
0
07 May 2024
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-Wei Zhang
33
3
0
28 Apr 2024
Unsupervised Optimisation of GNNs for Node Clustering
Will Leeney
Ryan McConville
16
0
0
12 Feb 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning
Xunkai Li
Zhengyu Wu
Wentao Zhang
Yinlin Zhu
Ronghua Li
Guoren Wang
FedML
19
16
0
22 Jan 2024
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs
Hesham Mostafa
Adam Grabowski
Md Asadullah Turja
J. Cerviño
Alejandro Ribeiro
N. Himayat
GNN
21
1
0
29 Nov 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
31
0
0
28 Nov 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
Haitian Jiang
Renjie Liu
Xiao Yan
Zhenkun Cai
Minjie Wang
David Wipf
Minjie Wang
David Wipf
GNN
AI4CE
21
3
0
19 Oct 2023
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 M. Zhang
Fei Wu
Zeke Wang
GNN
37
5
0
02 Oct 2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
Jeongmin Brian Park
Vikram Sharma Mailthody
Zaid Qureshi
Wen-mei W. Hwu
GNN
10
10
0
28 Jun 2023
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
23
31
0
02 Jun 2023
Linkless Link Prediction via Relational Distillation
Zhichun Guo
William Shiao
Shichang Zhang
Yozen Liu
Nitesh V. Chawla
Neil Shah
Tong Zhao
19
41
0
11 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation
Sajad Darabi
P. Bigaj
Dawid Majchrowski
Artur Kasymov
Pawel M. Morkisz
A. Fit-Florea
25
4
0
04 Oct 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs
John Palowitch
Anton Tsitsulin
Brandon Mayer
Bryan Perozzi
GNN
183
68
0
28 Feb 2022
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
1