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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
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks Zhengjia Xu Dingyang Lyu Jinghui Zhang GNN 119 0 0 21 Aug 2024
Graph Classification via Reference Distribution Learning: Theory and Practice Zixiao Wang Jicong Fan 55 0 0 21 Aug 2024
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? Qian Ma Haitao Mao Jingzhe Liu Zhehua Zhang Chunlin Feng Yu Song Yihan Shao Yao Ma 96 3 0 20 Aug 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks Yuchen Zhong Junwei Su Chuan Wu Minjie Wang 64 1 0 19 Aug 2024
E-CGL: An Efficient Continual Graph Learner Jianhao Guo Zixuan Ni Yun Zhu Siliang Tang CLL 96 0 0 18 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 135 0 0 17 Aug 2024
Towards Few-shot Self-explaining Graph Neural Networks Jingyu Peng Qi Liu Linan Yue Zaixi Zhang Kai Zhang Yunhao Sha MILM 79 2 0 14 Aug 2024
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation Junyu Chen Long Shi Badong Chen 96 1 0 14 Aug 2024
A Structural Feature-Based Approach for Comprehensive Graph Classification Saiful Islam M. Hasan P. Khanra 76 2 0 10 Aug 2024
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation Wenbo Shang Xuliang Zhu Xin Huang 102 5 0 10 Aug 2024
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning Wenbin Hu Huihao Jing Qi Hu Haoran Li Yangqiu Song SSL AI4CE 91 0 0 09 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 152 2 0 03 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck Yuntao Shou Haozhi Lan Xiangyong Cao 97 12 0 01 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 96 5 0 31 Jul 2024
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement Yakun Wang Daixin Wang Hongrui Liu Bin Hu Yingcui Yan Qiyang Zhang Qing Cui 100 6 0 30 Jul 2024
RelBench: A Benchmark for Deep Learning on Relational Databases Joshua Robinson Rishabh Ranjan Weihua Hu Kexin Huang Jiaqi Han ... J. E. Lenssen Yiwen Yuan Zecheng Zhang Xinwei He J. Leskovec 78 17 0 29 Jul 2024
Boosting Graph Foundation Model from Structural Perspective Yao Cheng Yige Zhao Jianxiang Yu Xiang Li 110 5 0 29 Jul 2024
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning Michael Färber David Lamprecht Yuni Susanti AI4CE 87 1 0 26 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 134 0 0 21 Jul 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 111 0 0 21 Jul 2024
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation Lirong Wu Yunfan Liu Haitao Lin Yufei Huang Stan Z. Li 91 1 0 20 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Yuqi Liu Mengyu Li Ximing Li Lan Huang Fausto Giunchiglia Yanchun Liang Xiaoyue Feng Renchu Guan SSL 102 4 0 20 Jul 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 92 4 0 19 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 94 2 0 19 Jul 2024
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs Shenyang Huang Farimah Poursafaei Reihaneh Rabbany Guillaume Rabusseau Emanuele Rossi 66 7 0 17 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk Wojciech Czech 102 2 0 16 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 81 1 0 16 Jul 2024
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness Kai Guo Zewen Liu Zhikai Chen Hongzhi Wen Wei Jin Jiliang Tang Yi Chang AAML 73 6 0 16 Jul 2024
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu 71 1 0 15 Jul 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 88 0 0 13 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 94 5 0 10 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 134 3 0 10 Jul 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 115 18 0 10 Jul 2024
Commute-Time-Optimised Graphs for GNNs Igor Sterner Shiye Su Petar Velickovic 106 2 0 09 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu Zhen Zhang Jiachen Tang Jiajun Bu Bingsheng He Sheng Zhou 111 5 0 09 Jul 2024
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs Zhengdao Li Yong Cao Kefan Shuai Yiming Miao Kai Hwang 123 2 0 06 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 69 3 0 05 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 91 0 0 03 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 94 2 0 02 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 124 4 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 178 1 0 01 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 105 2 0 30 Jun 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 114 0 0 29 Jun 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification Tianjun Yao Jiaqi Sun Defu Cao Kun Zhang Guangyi Chen 72 5 0 28 Jun 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 117 6 0 27 Jun 2024
Fast Optimizer Benchmark Simon Blauth Tobias Bürger Zacharias Häringer Jörg Franke Frank Hutter 53 0 0 26 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 178 51 0 26 Jun 2024
GraphSnapShot: Caching Local Structure for Fast Graph Learning Dong Liu R. Waleffe Meng Jiang Shivaram Venkataraman GNN 3DH 91 7 0 25 Jun 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 89 6 0 24 Jun 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 94 2 0 22 Jun 2024