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
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 45 0 0 06 Sep 2024
The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models A. Cattaneo Stephen Bonner Thomas Martynec Carlo Luschi Ian P Barrett Daniel Justus 35 0 0 06 Sep 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen Zhixun Li Yuyan Ni Guibin Zhang Ding Wang Qiang Liu Shu Wu Jeffrey Xu Yu Liang Wang 54 4 0 02 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 29 0 0 01 Sep 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 35 0 0 29 Aug 2024
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks Xing Ai Guanyu Zhu Yulin Zhu Yu Zheng Gaolei Li Jianhua Li Kai Zhou AAML 26 0 0 29 Aug 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Bo Li Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 33 1 0 29 Aug 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration Runzhen Xue Yurui Lai Dengke Han Zhimin Tang Mingyu Yan Xiaochun Ye GNN 29 0 0 27 Aug 2024
Learning Tree-Structured Composition of Data Augmentation Dongyue Li Kailai Chen P. Radivojac Hongyang R. Zhang 52 1 0 26 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond Qingqing Long Yuchen Yan Peiyan Zhang Chen Fang Wentao Cui ... Shiyue Jiang Zheng Fang Chong Chen Xian-Sheng Hua Yuanchun Zhou AI4CE 44 0 0 26 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 28 8 0 25 Aug 2024
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 48 0 0 25 Aug 2024
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks Zhengjia Xu Dingyang Lyu Jinghui Zhang GNN 41 0 0 21 Aug 2024
Graph Classification via Reference Distribution Learning: Theory and Practice Zixiao Wang Jicong Fan 25 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 40 3 0 20 Aug 2024
Heta: Distributed Training of Heterogeneous Graph Neural Networks Yuchen Zhong Junwei Su Chuan Wu Minjie Wang 33 1 0 19 Aug 2024
E-CGL: An Efficient Continual Graph Learner Jianhao Guo Zixuan Ni Yun Zhu Siliang Tang CLL 37 0 0 18 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi Zhewei Wei MU 64 2 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 24 2 0 14 Aug 2024
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation Junyu Chen Long Shi Badong Chen 30 0 0 14 Aug 2024
A Structural Feature-Based Approach for Comprehensive Graph Classification Saiful Islam M. Hasan P. Khanra 41 2 0 10 Aug 2024
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation Wenbo Shang Xuliang Zhu Xin Huang 50 3 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 42 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 43 2 0 03 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck Yuntao Shou Haozhi Lan Xiangyong Cao 43 11 0 01 Aug 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 35 3 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 35 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 43 11 0 29 Jul 2024
Boosting Graph Foundation Model from Structural Perspective Yao Cheng Yige Zhao Jianxiang Yu Xiang Li 29 4 0 29 Jul 2024
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning Michael Färber David Lamprecht Yuni Susanti AI4CE 40 0 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 58 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 40 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 42 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 51 4 0 20 Jul 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 52 2 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 39 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 32 3 0 17 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk Wojciech Czech 42 2 0 16 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 44 0 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 43 4 0 16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 40 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 49 0 0 13 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 37 5 0 10 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs Aaron Zolnai-Lucas Jack Boylan Chris Hokamp Parsa Ghaffari 42 2 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 55 13 0 10 Jul 2024
Commute-Time-Optimised Graphs for GNNs Igor Sterner Shiye Su Petar Velickovic 44 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 39 3 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 53 2 0 06 Jul 2024
Graph Pooling via Ricci Flow Amy Feng Melanie Weber AI4CE 42 1 0 05 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 50 0 0 03 Jul 2024