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"

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Title
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 29 0 0 30 Jan 2022
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 43 76 0 30 Jan 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 58 22 0 30 Jan 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 20 1 0 29 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao Weizhao Jin Yu Yang Carlee Joe-Wong GNN FedML 60 19 0 28 Jan 2022
Compositionality-Aware Graph2Seq Learning Takeshi D. Itoh Takatomi Kubo K. Ikeda 27 0 0 28 Jan 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 25 12 0 28 Jan 2022
LAGOON: An Analysis Tool for Open Source Communities Sourya Dey Walt Woods 18 2 0 26 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 76 73 0 24 Jan 2022
Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma Ziqiao Ma Joyce Chai Qiaozhu Mei 24 15 0 23 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 27 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 51 261 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 23 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 14 14 0 20 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 25 31 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 30 20 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 33 144 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 46 38 0 19 Jan 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 27 129 0 17 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 31 45 0 14 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 24 7 0 14 Jan 2022
Entropic Optimal Transport in Random Graphs Nicolas Keriven OT 25 4 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 23 11 0 11 Jan 2022
Scaling Knowledge Graph Embedding Models Nasrullah Sheikh Xiao Qin B. Reinwald Chuan Lei 41 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 Xia Hu SSL 30 39 0 07 Jan 2022
Neighbor2vec: an efficient and effective method for Graph Embedding Zhiming Lin GNN 12 0 0 07 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 56 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 27 61 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 32 57 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 27 109 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 42 313 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 29 42 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 19 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 60 48 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 36 13 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 45 114 0 18 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 24 41 0 18 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 38 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 34 77 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 Bin Cui 24 57 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 15 27 0 14 Dec 2021
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 33 34 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 18 98 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 38 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 41 97 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 33 6 0 07 Dec 2021
Pairwise Learning for Neural Link Prediction Zhitao Wang Yong Zhou L. Jeff Hong Yuanhang Zou Hanjing Su Shouzhi Chen 20 26 0 06 Dec 2021
Improving random walk rankings with feature selection and imputation Ngoc M. Tran Yangxinyu Xie 11 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 26 41 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 28 2 0 25 Nov 2021