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
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 35 7 0 10 Oct 2021
Machine Learning Featurizations for AI Hacking of Political Systems Nathan Sanders B. Schneier 20 2 0 08 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lio AI4CE 39 204 0 08 Oct 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 39 8 0 08 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin Leman Akoglu Neil Shah GNN 26 162 0 07 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 55 48 0 06 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph Variance Taige Zhao Xiangyu Song Jianxin Li Wei Luo Imran Razzak GNN 40 9 0 06 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 65 177 0 06 Oct 2021
Revisiting SVD to generate powerful Node Embeddings for Recommendation Systems A. Budhiraja 9 2 0 05 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning Jun Xia Lirong Wu Ge Wang Jintao Chen Stan Z. Li 30 121 0 05 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 38 9 0 05 Oct 2021
Inductive learning for product assortment graph completion Haris Dukic Georgios Deligiorgis Pierpaolo Sepe D. Bacciu Marco Trincavelli CML 27 1 0 04 Oct 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu Dragomir R. Radev Huabin Xing ViT 41 54 0 04 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 134 78 0 01 Oct 2021
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs Zhao Xu Youzhi Luo Xuan Zhang Xinyi Xu Yaochen Xie Meng Liu Kaleb Dickerson Cheng Deng Maho Nakata Shuiwang Ji 52 40 0 30 Sep 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 47 22 0 29 Sep 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 109 116 0 29 Sep 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 52 11 0 28 Sep 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors Zhengyi Wang Zhongkai Hao Ziqiao Wang Hang Su Jun Zhu AAML GNN 48 18 0 27 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 28 38 0 27 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 48 34 0 23 Sep 2021
Edge-similarity-aware Graph Neural Networks Vincent Mallet Carlos Oliver William L. Hamilton 25 0 0 20 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency Yongan Zhang Haoran You Yonggan Fu Tong Geng Ang Li Yingyan Lin GNN 26 28 0 18 Sep 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 42 45 0 18 Sep 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 36 1 0 15 Sep 2021
Accurately Modeling Biased Random Walks on Weighted Graphs Using $\textit{Node2vec+}$ Renming Liu M. Hirn Arjun Krishnan 19 3 0 15 Sep 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 30 3 0 13 Sep 2021
Explaining Deep Learning Representations by Tracing the Training Process Lukas Pfahler K. Morik FAtt 21 2 0 13 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 47 91 0 08 Sep 2021
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids Martin Ringsquandl Houssem Sellami Marcel Hildebrandt Dagmar Beyer S. Henselmeyer Sebastian Weber Mitchell Joblin AI4CE 14 17 0 08 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs Arnav V. Malawade S. Yu Brandon Hsu Harsimrat Kaeley Anurag Karra Mohammad Abdullah Al Faruque GNN 29 26 0 02 Sep 2021
An Empirical Study of Graph Contrastive Learning Yanqiao Zhu Yichen Xu Qiang Liu Shu Wu 16 168 0 02 Sep 2021
Sparsifying the Update Step in Graph Neural Networks J. Lutzeyer Changmin Wu Michalis Vazirgiannis 29 4 0 02 Sep 2021
Position-based Hash Embeddings For Scaling Graph Neural Networks Maria Kalantzi George Karypis GNN 18 4 0 31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 69 519 0 31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) Johannes C. Paetzold J. McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl ... Anjany Sekuboyina Georgios Kaissis Ali Ertürk Stephan Günnemann Bjoern H. Menze 19 9 0 30 Aug 2021
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding Edoardo Ramalli Alberto Parravicini Guido Walter Di Donato Mirko Salaris C´eline Hudelot M. Santambrogio 12 3 0 30 Aug 2021
Single Node Injection Attack against Graph Neural Networks Shuchang Tao Qi Cao Huawei Shen Junjie Huang Yunfan Wu Xueqi Cheng AAML GNN 19 67 0 30 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 39 3 0 30 Aug 2021
Latent Tree Decomposition Parsers for AMR-to-Text Generation Lisa Jin D. Gildea 22 0 0 27 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 42 42 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 32 63 0 24 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J Zaki D. Subramanian ViT 45 123 0 07 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 30 106 0 02 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 23 31 0 02 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 48 289 0 26 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 0 16 Jul 2021