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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
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 80 3 0 17 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 93 67 0 13 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten Borgwardt GNN 68 2 0 12 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 150 30 0 10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 183 75 0 10 May 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 66 15 0 08 May 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity Yuhan Chen Yihong Luo Jing Tang Liang Yang Si-Huang Qiu Chuan Wang Xiaochun Cao 76 22 0 07 May 2023
Transformer-Based Hierarchical Clustering for Brain Network Analysis Wei Dai Hejie Cui Xuan Kan Ying Guo S. V. Rooij Carl Yang 96 12 0 06 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 82 16 0 04 May 2023
Hierarchical Transformer for Scalable Graph Learning Wenhao Zhu Tianyu Wen Guojie Song Xiaojun Ma Liang Wang 120 17 0 04 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning E. Lee Joyce C. Ho 72 2 0 04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 82 7 0 04 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui Jocelyn M Mora Adrian Dalca I. Aganj 110 24 0 03 May 2023
3D Molecular Geometry Analysis with 2D Graphs Zhao Xu Yaochen Xie Youzhi Luo Xuan Zhang Xinyi Xu Meng Liu Kaleb Dickerson Cheng Deng Maho Nakata Shuiwang Ji 65 1 0 01 May 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 162 23 0 01 May 2023
Strengthening structural baselines for graph classification using Local Topological Profile J. Adamczyk Wojciech Czech 61 3 0 01 May 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 92 2 0 01 May 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 64 4 0 28 Apr 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 142 38 0 28 Apr 2023
Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation Cuong Q. Nguyen Dante A. Pertusi K. Branson AI4CE 42 13 0 27 Apr 2023
Jet: Multilevel Graph Partitioning on Graphics Processing Units M. Gilbert Kamesh Madduri E. Boman S. Rajamanickam 66 2 0 25 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 100 22 0 23 Apr 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers Romain Menegaux Emmanuel Jehanno Margot Selosse Julien Mairal 63 7 0 21 Apr 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 166 8 0 21 Apr 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis V. Ioannidis Shen Wang Da Zheng Soji Adeshina Jun Ma Han Zhao Christos Faloutsos George Karypis 79 31 0 20 Apr 2023
Multi-label Node Classification On Graph-Structured Data Tianqi Zhao Ngan Thi Dong Alan Hanjalic Megha Khosla AI4CE 66 6 0 20 Apr 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 57 4 0 20 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 184 163 0 11 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 68 117 0 10 Apr 2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie Heng Chang Ziwei Zhang Xin Eric Wang Daixin Wang Qing Cui Rex Ying Wenwu Zhu AAML 67 16 0 09 Apr 2023
Graph Enabled Cross-Domain Knowledge Transfer S. Yao 29 0 0 07 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 102 36 0 06 Apr 2023
Selecting Features by their Resilience to the Curse of Dimensionality Maximilian Stubbemann Tobias Hille Tom Hanika 43 1 0 05 Apr 2023
Knowledge Graph Embedding with 3D Compound Geometric Transformations Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 73 7 0 01 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 68 2 0 31 Mar 2023
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution Rui Luo Vikram Krishnamurthy 66 2 0 29 Mar 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning Aapo Hyvarinen Ilyes Khemakhem H. Morioka CML OOD 125 37 0 29 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang Ran He 102 33 0 27 Mar 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern Menze GNN 95 7 0 25 Mar 2023
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism Sandeep Polisetty Juelin Liu Kobi Falus Yi R. Fung Seung-Hwan Lim Hui Guan Marco Serafini GNN 120 11 0 24 Mar 2023
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs Taiqiang Wu Zhe Zhao Jiahao Wang Xingyu Bai Lei Wang Ngai Wong Yujiu Yang 122 9 0 24 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 100 121 0 23 Mar 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 84 14 0 19 Mar 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu Eric Inae Tong Zhao Jiaxin Xu Te Luo Meng Jiang DiffM 75 26 0 17 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training Jie Wang Zhihao Shi Xize Liang Shuiwang Ji Bin Li Feng Wu 57 0 0 17 Mar 2023
Feature propagation as self-supervision signals on graphs Oscar Pina Verónica Vilaplana SSL 54 1 0 15 Mar 2023
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural Networks Kaidi Cao Jiaxuan You Jiaju Liu J. Leskovec 102 5 0 14 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 76 119 0 10 Mar 2023
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples Ben Adlam Jaehoon Lee Shreyas Padhy Zachary Nado Jasper Snoek 80 12 0 09 Mar 2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework Zhenshuo Zhang Yun Zhu Haizhou Shi Siliang Tang 70 1 0 09 Mar 2023