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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
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 101 99 0 21 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 78 11 0 19 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 92 28 0 18 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 95 21 0 18 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 105 41 0 18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Tengjiao Wang AAML 74 17 0 17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search Wentao Zhang Zheyu Lin Yu Shen Yang Li Zhi-Xin Yang Tengjiao Wang GNN AI4CE 58 5 0 17 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 84 12 0 17 Jun 2022
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features Jiuhai Chen Jonas W. Mueller V. Ioannidis Tom Goldstein David Wipf 67 2 0 16 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 87 123 0 16 Jun 2022
ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics Axel Wassington S. Abadal GNN 78 1 0 16 Jun 2022
All the World's a (Hyper)Graph: A Data Drama Corinna Coupette Jilles Vreeken Bastian Rieck 57 2 0 16 Jun 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization Langzhang Liang Zenglin Xu Zixing Song Irwin King Yuan Qi Jieping Ye 120 24 0 16 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf Anh Tuan Luu Dominique Beaini 103 219 0 16 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 121 23 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 94 111 0 15 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 86 15 0 15 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 50 21 0 09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 71 4 0 09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 82 43 0 09 Jun 2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai Vasileios Ioannidis Soji Adeshina Zak Jost Christos Faloutsos George Karypis UQCV 55 1 0 09 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 73 121 0 09 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 129 8 0 08 Jun 2022
Network Report: A Structured Description for Network Datasets Xinyi Zheng Ryan A. Rossi Nesreen Ahmed Dominik Moritz 53 4 0 08 Jun 2022
Learning Backward Compatible Embeddings Weihua Hu Rajas Bansal Kaidi Cao Nikhil S. Rao Karthik Subbian J. Leskovec 39 17 0 07 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 117 44 0 07 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 104 85 0 06 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 69 1 0 06 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 65 1 0 04 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 72 99 0 03 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 65 23 0 03 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 111 49 0 02 Jun 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks Yifan Chen Tianning Xu Dilek Z. Hakkani-Tür Di Jin Yun Yang Ruoqing Zhu 114 4 0 01 Jun 2022
Good Intentions: Adaptive Parameter Management via Intent Signaling Alexander Renz-Wieland Andreas Kieslinger R. Gericke Rainer Gemulla Zoi Kaoudi Volker Markl 68 1 0 01 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks Dingmin Wang Shengchao Liu Hanchen Wang Bernardo Cuenca Grau Linfeng Song Jian Tang Song Le Qi Liu 93 0 0 01 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization Quanqi Hu Yongjian Zhong Tianbao Yang 111 16 0 01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 83 3 0 31 May 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 123 12 0 31 May 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 80 16 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 100 0 0 31 May 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 65 3 0 30 May 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 162 39 0 30 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 59 3 0 30 May 2022
Rethinking the Setting of Semi-supervised Learning on Graphs Ziang Li Ming Ding Weikai Li Zihan Wang Ziyu Zeng Yukuo Cen Jie Tang 26 0 0 28 May 2022
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph Hongzhu Li Xiang Gao Linhui Feng Yafeng Deng Yuhui Yin 99 2 0 27 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 68 1 0 27 May 2022
Deep Ensembles for Graphs with Higher-order Dependencies Steven J. Krieg William C. Burgis Patrick M. Soga Nitesh Chawla AI4CE GNN 47 3 0 27 May 2022
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation Axel Wassington S. Abadal 32 4 0 27 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 98 45 0 27 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks Jiarui Feng Yixin Chen Fuhai Li Anindya Sarkar Muhan Zhang 77 108 0 26 May 2022