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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
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 96 112 0 19 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 62 38 0 19 Aug 2022
GreenKGC: A Lightweight Knowledge Graph Completion Method Yun Cheng Wang Xiou Ge Bin Wang C.-C. Jay Kuo 111 18 0 19 Aug 2022
Robust Causal Graph Representation Learning against Confounding Effects Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Bing Xu Changwen Zheng Gang Hua OOD CML 39 15 0 18 Aug 2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries Xiao Liu Shiyu Zhao Kai Su Yukuo Cen J. Qiu Mengdi Zhang Wei Wu Yuxiao Dong Jie Tang 70 58 0 16 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li Zhouxin Yu Zulun Zhu Liang Chen Qi Yu Zibin Zheng Sheng Tian Ruofan Wu Changhua Meng GNN 84 34 0 15 Aug 2022
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models Xingyu Xie Pan Zhou Huan Li Zhouchen Lin Shuicheng Yan ODL 94 169 0 13 Aug 2022
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph Chin-Chia Michael Yeh Mengting Gu Yan Zheng Huiyuan Chen J. Ebrahimi Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang GNN AI4CE 69 18 0 11 Aug 2022
Path-aware Siamese Graph Neural Network for Link Prediction Jingsong Lv Zhao Li Hongyang Chen Yao Qi Chunqi Wu 73 3 0 10 Aug 2022
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes Tu Anh Dinh J. D. Boef J. Cornelisse Paul T. Groth 113 10 0 09 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical Molecules Yifei Wang Shiyang Chen Guobin Chen Ethan Shurberg Hang Liu Pengyu Hong GNN 64 14 0 09 Aug 2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation Juanwu Lu Wei Zhan Masayoshi Tomizuka Yeping Hu 74 6 0 06 Aug 2022
A Gaze into the Internal Logic of Graph Neural Networks, with Logic Paul Tarau NAI 62 3 0 05 Aug 2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning Shijie Zhou Zhimeng Guo Charu C. Aggarwal Xiang Zhang Suhang Wang 72 15 0 03 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 95 24 0 03 Aug 2022
BiFeat: Supercharge GNN Training via Graph Feature Quantization Yuxin Ma Ping Gong Jun Yi Z. Yao Cheng-rong Li Yuxiong He Feng Yan GNN 57 6 0 29 Jul 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 44 0 0 28 Jul 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 51 1 0 25 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 117 38 0 24 Jul 2022
AutoWeird: Weird Translational Scoring Function Identified by Random Search Hansi Yang Yongqi Zhang Quanming Yao 75 0 0 24 Jul 2022
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules J. Choi Pei Zhang Kshitij Mehta Andrew E. Blanchard Massimiliano Lupo Pasini GNN AI4CE 101 9 0 22 Jul 2022
Towards Better Evaluation for Dynamic Link Prediction Farimah Poursafaei Shenyang Huang Kellin Pelrine Reihaneh Rabbany 82 105 0 20 Jul 2022
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications Ryien Hosseini F. Simini V. Vishwanath GNN 80 2 0 20 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 121 68 0 20 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Di Lin Wenbin Hu Danilo Mandic 95 32 0 18 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths Moshe Eliasof E. Haber Eran Treister 3DPC GNN 65 28 0 15 Jul 2022
Unified 2D and 3D Pre-Training of Molecular Representations Jinhua Zhu Yingce Xia Lijun Wu Shufang Xie Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu AI4CE 109 71 0 14 Jul 2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search Xu Wang Huan Zhao Lanning Wei Quanming Yao AI4CE GNN 58 3 0 13 Jul 2022
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 102 11 0 12 Jul 2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning Zihao Ye Ruihang Lai Junru Shao Tianqi Chen Luis Ceze 139 99 0 11 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 79 7 0 10 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 84 4 0 06 Jul 2022
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Yurui Lai Shirui Pan Xiaochun Ye Xiaochun Ye 149 140 0 06 Jul 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 110 90 0 30 Jun 2022
Generalized Permutants and Graph GENEOs Faraz Ahmad M. Ferri Patrizio Frosini 69 4 0 29 Jun 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 134 7 0 29 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 127 53 0 28 Jun 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 71 16 0 26 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 140 4 0 24 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 102 15 0 23 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 194 246 0 23 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 103 51 0 23 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 107 17 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 101 33 0 22 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 125 58 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 91 133 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 91 20 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 57 11 0 22 Jun 2022
Nimble GNN Embedding with Tensor-Train Decomposition Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 100 17 0 21 Jun 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 87 61 0 21 Jun 2022