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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
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks Junwei Su Shan Wu 134 0 0 10 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 145 1 0 10 Dec 2024
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 125 10 0 05 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 158 1 0 29 Nov 2024
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare Tianqi Shang Weiqing He Tianlong Chen Ying Ding Huanmei Wu Kaixiong Zhou Li Shen 82 1 0 29 Nov 2024
Instance-Aware Graph Prompt Learning Jiazheng Li Jundong Li Chuxu Zhang VLM 113 4 0 26 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye Wentao Zhang Hongzhi Yin 163 2 0 26 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 157 3 0 23 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 138 0 0 19 Nov 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 124 1 0 18 Nov 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Sejun Park Joo Young Park Hyunwoo Park AI4CE OOD 83 0 0 17 Nov 2024
Federated Graph Learning with Graphless Clients Xingbo Fu Song Wang Yushun Dong Binchi Zhang Chen Chen Jundong Li FedML 65 3 0 13 Nov 2024
BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks Shubham Gandhi Manasi Patwardhan Lovekesh Vig Gautam M. Shroff LLMAG 132 1 0 12 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh Chawla Chuxu Zhang Yanfang Ye 101 20 0 09 Nov 2024
Distributed-Order Fractional Graph Operating Network Kai Zhao Xuhao Li Qiyu Kang Feng Ji Qinxu Ding Yanan Zhao Wenfei Liang Wee Peng Tay GNN 24 2 0 08 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 66 1 0 07 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xiang Wang Muhan Zhang 95 1 0 06 Nov 2024
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts Zelin Yao Chuang Liu Xianke Meng Yibing Zhan Hongzhi Zhang Shirui Pan Wenbin Hu 66 2 0 05 Nov 2024
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning Jinyin Chen Wenbo Mu Luxin Zhang Guohan Huang Haibin Zheng Yao Cheng FedML AAML 120 0 0 05 Nov 2024
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads Qidong Zhao Hao Wu Yuming Hao Zilingfeng Ye Jiajia Li Xu Liu Keren Zhou 31 0 0 05 Nov 2024
PageRank Bandits for Link Prediction Yikun Ban Jiaru Zou Zihao Li Yunzhe Qi Dongqi Fu Jian Kang Hanghang Tong Jingrui He 106 10 0 03 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings Ashkan Golgoon Ryan Franks Khashayar Filom Arjun Ravi Kannan 107 0 0 01 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 173 0 0 31 Oct 2024
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks Xuyuan Liu Yinghao Cai Qihui Yang Yujun Yan 87 1 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 85 1 0 31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant Jinyoung Park Minseong Bae Dohwan Ko Hyunwoo J. Kim 103 3 0 31 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 83 2 0 30 Oct 2024
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning Haitz Sáez de Ocáriz Borde Artem Lukoianov Anastasis Kratsios Michael M. Bronstein Xiaowen Dong GNN 73 2 0 29 Oct 2024
CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions Spyridon Kantarelis Konstantinos Thomas Vassilis Lyberatos Edmund Dervakos Giorgos Stamou 58 0 0 29 Oct 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting Bo Jiang Hao Wu Beibei Wang Jin Tang Bin Luo 75 0 0 29 Oct 2024
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer Zihan Pengmei Zhengyuan Shen Zichen Wang Marcus Collins Huzefa Rangwala AI4CE 62 2 0 29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 120 0 0 29 Oct 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks Yuntian He Pranav Maneriker Anutam Srinivasan Aditya T. Vadlamani Srinivasan Parthasarathy 73 0 0 28 Oct 2024
Multi-Field Adaptive Retrieval Millicent Li Tongfei Chen Benjamin Van Durme Patrick Xia 450 1 0 26 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 158 5 0 25 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 207 0 0 25 Oct 2024
Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 100 1 0 24 Oct 2024
GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models Zhixia He Chen Zhao Minglai Shao Yujie Lin Dong Li Q. Tian DiffM 65 4 0 23 Oct 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo Yuhan Chen Siya Qiu Yiwei Wang Chen Zhang Yan Zhou Xiaochun Cao Jing Tang AAML 85 2 0 22 Oct 2024
Fastrack: Fast IO for Secure ML using GPU TEEs Yongqin Wang Rachit Rajat Jonghyun Lee Tingting Tang M. Annavaram 61 1 0 20 Oct 2024
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev JJ Wilson Davide Buffelli Pietro Lio 89 1 0 19 Oct 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model Tianqianjin Lin Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Jun Lin Weikang Yuan Junjie Cao Changlong Sun Wei Lu AI4CE 60 3 0 19 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 116 4 0 17 Oct 2024
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval Yu Xia Junda Wu Sungchul Kim Tong Yu Ryan A. Rossi Haoliang Wang Julian McAuley 103 4 0 17 Oct 2024
Loss Landscape Characterization of Neural Networks without Over-Parametrization Rustem Islamov Niccolò Ajroldi Antonio Orvieto Aurelien Lucchi 80 4 0 16 Oct 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu Guansong Pang Ling-Hao Chen Bing Liu CLL 151 6 0 14 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective Jintang Li Ruofan Wu Yuchang Zhu Huizhe Zhang Xinzhou Jin Guibin Zhang Zulun Zhu Zibin Zheng Liang Chen SSL 82 0 0 14 Oct 2024
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing Pengrui Quan Xiaomin Ouyang J. Jeyakumar Ziqi Wang Yang Xing Mani B. Srivastava 60 2 0 14 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 181 15 0 14 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 137 0 0 12 Oct 2024