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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
Intrinsic Dimension for Large-Scale Geometric Learning Maximilian Stubbemann Tom Hanika Friedrich Martin Schneider PINN 100 5 0 11 Oct 2022
Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for Deep Learning Models Jooyoung Park DoangJoo Synn XinYu Piao Jong-Kook Kim 42 0 0 11 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 77 2 0 08 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 151 8 0 08 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 162 95 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 144 64 0 07 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 152 57 0 06 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 106 5 0 05 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 78 37 0 05 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation Sajad Darabi P. Bigaj Dawid Majchrowski Artur Kasymov Pawel M. Morkisz A. Fit-Florea 112 4 0 04 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction Zixiao Wang Yuluo Guo Jin Zhao Yu Zhang Hui Yu Xiaofei Liao Biao Wang Ting Yu DiffM GNN 119 7 0 04 Oct 2022
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm Kyriakos Schwarz A. Pliego-Mendieta Amina Mollaysa Lara Planas-Paz C. Pauli Ahmed Allam Michael Krauthammer GNN 48 2 0 03 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 111 51 0 02 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 74 0 0 02 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 69 8 0 01 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 158 39 0 30 Sep 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 75 1 0 30 Sep 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 133 85 0 30 Sep 2022
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph Shumin Deng Chengming Wang Zhoubo Li Ningyu Zhang Zelin Dai ... Mosha Chen Jiaoyan Chen Jeff Z. Pan Bryan Hooi Huajun Chen VLM 117 22 0 30 Sep 2022
Domain Generalization -- A Causal Perspective Paras Sheth Raha Moraffah K. S. Candan A. Raglin Huan Liu CML OOD 134 17 0 30 Sep 2022
Improving Molecular Pretraining with Complementary Featurizations Yanqiao Zhu Dingshuo Chen Yuanqi Du Yingze Wang Qiang Liu Shu Wu AI4CE 75 7 0 29 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 91 3 0 29 Sep 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan Xiao Wang Yanhu Mo Chuan Shi Jian Tang CML OOD AI4CE 132 97 0 28 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 103 16 0 28 Sep 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang Yuanhao Xiong Minhao Cheng Cho-Jui Hsieh 102 5 0 27 Sep 2022
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 88 11 0 23 Sep 2022
Sparse Vicious Attacks on Graph Neural Networks Giovanni Trappolini Valentino Maiorca Silvio Severino Emanuele Rodolà Fabrizio Silvestri Gabriele Tolomei AAML 62 8 0 20 Sep 2022
Revisiting Embeddings for Graph Neural Networks S. Purchase A. Zhao Robert D. Mullins 72 3 0 19 Sep 2022
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors Long Yu Zhi-Ping Luo Huanyong Liu Deng Lin Hongzhu Li Yafeng Deng 84 18 0 17 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang Bryan Hooi Yozen Liu Tong Zhao Zhichun Guo Neil Shah BDL 125 6 0 17 Sep 2022
SPGP: Structure Prototype Guided Graph Pooling Sangseon Lee Dohoon Lee Yinhua Piao Sun Kim 62 1 0 16 Sep 2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Farid Razzak Ji-Rong Wen Hui Xiong 108 7 0 16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Yiyue Qian Yanfang Ye Chuxu Zhang SSL 84 6 0 16 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms Yuke Wang Boyuan Feng Zheng Wang Tong Geng Kevin J. Barker Ang Li Yufei Ding GNN 123 29 0 14 Sep 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 85 2 0 14 Sep 2022
Efficient multi-relational network representation using primes K. Bougiatiotis George Giannakopoulos 90 1 0 14 Sep 2022
Graph Contrastive Learning with Personalized Augmentation Xinyu Zhang Qiaoyu Tan Xiao Shi Huang Yue Liu 102 18 0 14 Sep 2022
Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks M. M. Krell Manuel Lopez Roldan Sreenidhi Anand Hatem Helal Andrew William Fitzgibbon 30 0 0 14 Sep 2022
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 152 45 0 13 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 164 29 0 12 Sep 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language Fuchun Sun Dazhao Du Zhao-Qing Yang Yujie Zhou Jiangmeng Li Anyi Rao Haoran Sun Zhiwu Lu Ji-Rong Wen 150 115 0 12 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks Yuchen Gui Boyi Wei W. Yuan Xi Jin GNN 73 1 0 07 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 71 4 0 02 Sep 2022
Rethinking Efficiency and Redundancy in Training Large-scale Graphs Xin Liu Xunbin Xiong Yurui Lai Runzhen Xue Shirui Pan Xiaochun Ye Xiaochun Ye 94 1 0 02 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice Oh 130 3 0 01 Sep 2022
Fraud Dataset Benchmark and Applications P. Grover Ju Xu Justin Tittelfitz Anqi Cheng Zheng Li Jakub Zablocki Jianbo Liu Hao Zhou AAML 50 6 0 30 Aug 2022
Data Augmentation for Graph Data: Recent Advancements Maria Marrium Arif Mahmood 57 7 0 25 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh Chawla 114 14 0 22 Aug 2022
Relational Self-Supervised Learning on Graphs Namkyeong Lee Dongmin Hyun Junseok Lee Chanyoung Park SSL 71 24 0 21 Aug 2022
From Static to Dynamic Structures: Improving Binding Affinity Prediction with a Graph-Based Deep Learning Model Yaosen Min Ye Wei Peizhuo Wang Xiao-tong Wang Han Li ... Yu Shi Yingheng Wang Ji Wu Dan Zhao Jianyang Zeng AI4CE 117 4 0 19 Aug 2022