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Open Graph Benchmark: Datasets for Machine Learning on Graphs

2 May 2020

Yuxiao Dong

Papers citing "Open Graph Benchmark: Datasets for Machine Learning on Graphs"

50 / 1,644 papers shown

Title
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 83 12 0 23 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 126 295 0 21 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 51 5 0 21 Jan 2022
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration Stefan Abi-Karam Yuqi He Rishov Sarkar Lakshmi Sathidevi Zihang Qiao Cong Hao GNN 31 16 0 20 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 107 32 0 20 Jan 2022
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis A. Perevalov Xiongliang Yan Liubov Kovriguina Longquan Jiang A. Both Ricardo Usbeck ELM 70 21 0 20 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 92 148 0 19 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 103 39 0 19 Jan 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 73 188 0 17 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 81 47 0 14 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 67 7 0 14 Jan 2022
Entropic Optimal Transport in Random Graphs Nicolas Keriven OT 53 5 0 11 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Gang Hua Changwen Zheng 98 11 0 11 Jan 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 61 5 0 08 Jan 2022
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs Qiaoyu Tan Ninghao Liu Xiao Shi Huang Rui Chen Soo-Hyun Choi Helen Zhou SSL 76 41 0 07 Jan 2022
Neighbor2vec: an efficient and effective method for Graph Embedding Zhiming Lin GNN 27 0 0 07 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 134 2 0 04 Jan 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL 100 63 0 04 Jan 2022
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs Da Zheng Xiang Song Chengrun Yang Dominique LaSalle George Karypis 3DH GNN 97 58 0 31 Dec 2021
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge Shuxin Yang Xian Wu Shen Ge S.Kevin Zhou Li Xiao MedIm 91 119 0 30 Dec 2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 131 330 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 81 44 0 29 Dec 2021
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 64 34 0 22 Dec 2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 148 52 0 22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes Lukas Galke Iacopo Vagliano Benedikt Franke Tobias Zielke Marcel Hoffmann A. Scherp CLL 89 14 0 20 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten Borgwardt GNN 129 118 0 18 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 85 42 0 18 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 67 0 0 17 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 81 79 0 16 Dec 2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework Xupeng Miao Hailin Zhang Yining Shi Xiaonan Nie Zhi-Xin Yang Yangyu Tao Tengjiao Wang 67 58 0 14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 77 30 0 14 Dec 2021
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 65 35 0 13 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation Shiori Sagawa Pang Wei Koh Tony Lee Irena Gao Sang Michael Xie ... Kate Saenko Tatsunori Hashimoto Sergey Levine Chelsea Finn Percy Liang OOD 67 102 0 09 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 81 8 0 08 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 119 106 0 07 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 75 6 0 07 Dec 2021
Pairwise Learning for Neural Link Prediction Zhitao Wang Yong Zhou L. Jeff Hong Yuanhang Zou Hanjing Su Shouzhi Chen 122 28 0 06 Dec 2021
Improving random walk rankings with feature selection and imputation Ngoc M. Tran Yangxinyu Xie 43 1 0 29 Nov 2021
DeepGate: Learning Neural Representations of Logic Gates Min Li Sadaf Khan Zhengyuan Shi Naixing Wang Yu Huang Qiang Xu GNN NAI AI4CE 58 46 0 26 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 58 2 0 25 Nov 2021
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication Linghao Song Yuze Chi Licheng Guo Jason Cong 51 43 0 24 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 91 98 0 23 Nov 2021
Node-Level Differentially Private Graph Neural Networks Ameya Daigavane Gagan Madan Aditya Sinha Abhradeep Thakurta Gaurav Aggarwal Prateek Jain 78 59 0 23 Nov 2021
Network In Graph Neural Network Xiang Song Runjie Ma Jiahang Li Muhan Zhang David Wipf GNN 43 10 0 23 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 52 6 0 22 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 67 24 0 20 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 167 89 0 20 Nov 2021
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs G. Edwards Sebastian Nilsson Benedek Rozemberczki Eliseo Papa 72 12 0 20 Nov 2021
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core Yuke Wang Boyuan Feng Yufei Ding GNN 83 43 0 18 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 77 32 0 16 Nov 2021