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 / 1,609 papers shown

Title
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 60 4 0 31 Dec 2024
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 49 1 0 29 Dec 2024
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 60 0 0 26 Dec 2024
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs Fabrizio Frasca Fabian Jogl Moshe Eliasof Matan Ostrovsky Carola-Bibiane Schönlieb Thomas Gärtner Haggai Maron AI4CE 39 2 0 23 Dec 2024
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li Dungy Liu Dawei Cheng Changchun Jiang AAML 36 0 0 23 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 80 0 0 20 Dec 2024
Is Peer-Reviewing Worth the Effort? Kenneth Ward Church Raman Chandrasekar John E. Ortega Ibrahim Said Ahmad OOD 75 2 0 18 Dec 2024
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms Etienne Lasalle Rémi Vaudaine Titouan Vayer Pierre Borgnat Rémi Gribonval Paulo Gonçalves Màrton Karsai 61 0 0 18 Dec 2024
Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction Claudio Moroni Claudio Borile Carolina Mattsson Michele Starnini Andre' Panisson 74 0 0 14 Dec 2024
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media Muhammad Arslan Manzoor Ruihong Zeng Dilshod Azizov Preslav Nakov Shangsong Liang 79 0 0 12 Dec 2024
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains Yunhui Liu Qizhuo Xie Jinwei Shi Jiaxu Shen Tieke He 72 0 0 12 Dec 2024
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks Xinfeng Li Guibin Zhang Haoran Yang Dawei Cheng 85 0 0 10 Dec 2024
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks Junwei Su Shan Wu 79 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 93 0 0 10 Dec 2024
Training MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 78 5 0 05 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 74 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 64 0 0 29 Nov 2024
Instance-Aware Graph Prompt Learning Jiazheng Li Jundong Li Chuxu Zhang VLM 84 2 0 26 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye Feiyu Xiong Hongzhi Yin 87 2 0 26 Nov 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers Chen Zhuang Peng Chen Xin Liu Rio Yokota Nikoli Dryden Toshio Endo Satoshi Matsuoka M. Wahib GNN 69 0 0 25 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 84 2 0 23 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 81 0 0 19 Nov 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 76 0 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 46 0 0 17 Nov 2024
Federated Graph Learning with Graphless Clients Xingbo Fu Song Wang Yushun Dong Binchi Zhang Chen Chen Jundong Li FedML 46 2 0 13 Nov 2024
BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks Shubham Gandhi Manasi S. Patwardhan L. Vig Gautam M. Shroff LLMAG 49 1 0 12 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 52 10 0 09 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 46 0 0 07 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xuben Wang Muhan Zhang 36 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 Jia Wu Shirui Pan Wenbin Hu 34 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 25 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 46 3 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 33 0 0 01 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis George Giannakopoulos 39 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 38 0 0 31 Oct 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 40 0 0 31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant Jinyoung Park Minseong Bae Dohwan Ko Hyunwoo J. Kim 42 1 0 31 Oct 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs Aishwarya Sarkar Sayan Ghosh Nathan Tallent Ali Jannesari GNN 31 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 43 1 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 39 0 0 29 Oct 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting Bo Jiang Hao Wu Beibei Wang Jin Tang Bin Luo 33 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 33 2 0 29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 34 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 33 0 0 28 Oct 2024
Multi-Field Adaptive Retrieval Millicent Li Tongfei Chen Benjamin Van Durme Patrick Xia 187 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 53 2 0 25 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 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 30 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 43 4 0 23 Oct 2024