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

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 MQ 23 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