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
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 90 217 0 23 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 38 48 0 23 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 52 16 0 23 Jun 2022
GACT: Activation Compressed Training for Generic Network Architectures Xiaoxuan Liu Lianmin Zheng Dequan Wang Yukuo Cen Weize Chen ... Zhiyuan Liu Jie Tang Joey Gonzalez Michael W. Mahoney Alvin Cheung VLM GNN MQ 25 30 0 22 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 56 57 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 48 127 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 44 17 0 22 Jun 2022
Efficient and effective training of language and graph neural network models V. Ioannidis Xiang Song Da Zheng Houyu Zhang Jun Ma Yi Xu Belinda Zeng Trishul Chilimbi George Karypis GNN 21 12 0 22 Jun 2022
Nimble GNN Embedding with Tensor-Train Decomposition Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 20 15 0 21 Jun 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 29 52 0 21 Jun 2022
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 23 91 0 21 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 28 11 0 19 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 34 26 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 27 21 0 18 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 43 39 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 33 16 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 35 5 0 17 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 24 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 32 2 0 16 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 43 116 0 16 Jun 2022
ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics Axel Wassington S. Abadal GNN 28 1 0 16 Jun 2022
All the World's a (Hyper)Graph: A Data Drama Corinna Coupette Jilles Vreeken Bastian Rieck 19 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 32 21 0 16 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf Anh Tuan Luu Dominique Beaini 31 197 0 16 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 35 20 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 45 99 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 29 14 0 15 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 24 18 0 09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 37 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 36 40 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 28 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 21 111 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 49 8 0 08 Jun 2022
Network Report: A Structured Description for Network Datasets Xinyi Zheng Ryan A. Rossi Nesreen Ahmed Dominik Moritz 27 3 0 08 Jun 2022
Learning Backward Compatible Embeddings Weihua Hu Rajas Bansal Kaidi Cao Nikhil S. Rao Karthik Subbian J. Leskovec 21 16 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 33 36 0 07 Jun 2022
Graph Rationalization with Environment-based Augmentations Gang Liu Tong Zhao Jiaxi Xu Te Luo Meng Jiang OOD 21 82 0 06 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 40 1 0 06 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 45 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 27 95 0 03 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 32 20 0 03 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 34 46 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 32 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 19 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 21 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 38 16 0 01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 30 3 0 31 May 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 51 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 43 14 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 54 0 0 31 May 2022