A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

14 October 2022

Papers citing "A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking"

41 / 41 papers shown

Title
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores Zhonggen Li Xiangyu Ke Yifan Zhu Yunjun Gao Yaofeng Tu 66 0 0 12 Dec 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 41 2 0 05 Nov 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 27 0 0 25 Oct 2024
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks Yushun Dong Binchi Zhang Zhenyu Lei Na Zou Jundong Li MU 67 5 0 28 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 21 1 0 10 Jul 2024
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs Zhengdao Li Yong Cao Kefan Shuai Yiming Miao Kai Hwang 37 2 0 06 Jul 2024
Benchmark on Drug Target Interaction Modeling from a Structure Perspective Xinnan Zhang Jialin Wu Junyi Xie Tianlong Chen Kaixiong Zhou 13 0 0 04 Jul 2024
On the Robustness of Graph Reduction Against GNN Backdoor Yuxuan Zhu Michael Mandulak Kerui Wu George Slota Yuseok Jeon Ka-Ho Chow Lei Yu AAML 25 1 0 02 Jul 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 34 2 0 14 Jun 2024
GraphFM: A Comprehensive Benchmark for Graph Foundation Model Yuhao Xu Xinqi Liu Keyu Duan Yi Fang Yu-Neng Chuang Daochen Zha Qiaoyu Tan AI4CE 25 1 0 12 Jun 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 29 4 0 24 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang David W. Zhang Jia-Hong Huang S. Rudinac Monika Kackovic N. Wijnberg M. Worring 16 1 0 22 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
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Joey Tianyi Zhou Yang You DD 63 13 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 51 19 0 05 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 24 2 0 19 Dec 2023
Entropy Aware Training for Fast and Accurate Distributed GNN Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 12 0 0 04 Nov 2023
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 44 6 0 31 Oct 2023
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization Sebastian Eliassen Raghavendra Selvan GNN 12 3 0 21 Sep 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Keyu Duan Qian Liu Tat-Seng Chua Shuicheng Yan Wei Tsang Ooi Qizhe Xie Junxian He 22 56 0 03 Aug 2023
A benchmark of categorical encoders for binary classification Federico Matteucci Vadim Arzamasov Klemens Boehm ELM 19 4 0 17 Jul 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 31 5 0 18 Jun 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network F. Liu Siqi Lai Yansong NING Hao Liu AAML FedML 16 3 0 17 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 13 0 0 14 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 15 9 0 09 Jun 2023
Editable Graph Neural Network for Node Classifications Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Xia Hu 13 6 0 24 May 2023
Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham Nadav Rappoport FedML OOD 14 12 0 22 May 2023
Knowledge Enhanced Graph Neural Networks for Graph Completion Luisa Werner Nabil Layaïda P. Genevès Sarah Chlyah 6 3 0 27 Mar 2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng E-Wen Huang Nikhil S. Rao Zhangyang Wang Karthik Subbian 18 4 0 27 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 27 5 0 13 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 20 19 0 03 Feb 2023
Cluster-guided Contrastive Graph Clustering Network Xihong Yang Yue Liu Sihang Zhou Siwei Wang Wenxuan Tu Qun Zheng Xinwang Liu Liming Fang En Zhu 40 89 0 03 Jan 2023
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 8 8 0 21 Nov 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 24 14 0 19 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 22 10 0 14 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 33 36 0 30 Sep 2022
DIVISION: Memory Efficient Training via Dual Activation Precision Guanchu Wang Zirui Liu Zhimeng Jiang Ninghao Liu Nannan Zou Xia Hu MQ 17 2 0 05 Aug 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 26 8 0 08 Jun 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 150 130 0 29 Oct 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018