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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
Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 134 7 0 21 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tönshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 243 7 0 21 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 184 4 0 20 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang 171 2 0 20 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 116 1 0 20 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 110 1 0 20 Feb 2025
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev Anton Bushuiev Niek F. de Jonge A. Young Fleming Kretschmer ... Justin J. J. van der Hooft Michael A. Stravs Sebastian Böcker Josef Sivic Tomáš Pluskal 148 6 0 17 Feb 2025
A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs Jiaqi Wang Xinyi Wu James Cheng Yifei Wang 36 0 0 17 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 234 0 0 13 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Yang Gao Hong Yang Y. Chen Junxian Wu Peng Zhang Haishuai Wang 84 1 0 12 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 201 0 0 11 Feb 2025
Prompt-Driven Continual Graph Learning Qi Wang Tianfei Zhou Ye Yuan Rui Mao CLL 142 0 0 10 Feb 2025
When, Where and Why to Average Weights? Niccolò Ajroldi Antonio Orvieto Jonas Geiping MoMe 287 0 0 10 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 403 4 0 09 Feb 2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective Chang Liu Hai Huang Yujie Xing Xingquan Zuo AAML 84 0 0 04 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xiang Wang Muhan Zhang 251 0 0 04 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Rieck 174 3 0 04 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md Atik Ahamed Andrew Cheng Qiang Ye Q. Cheng GNN 107 0 0 01 Feb 2025
A Metric for the Balance of Information in Graph Learning Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 87 0 0 31 Jan 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 294 21 0 28 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 130 0 0 24 Jan 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 209 2 0 23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 298 0 0 22 Jan 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Miao Hu Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 121 0 0 21 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 230 0 0 17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 375 0 0 10 Jan 2025
CDC: A Simple Framework for Complex Data Clustering Zhao Kang Xuanting Xie Bingheng Li Erlin Pan 136 12 0 10 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 199 11 0 10 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 102 0 0 08 Jan 2025
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization Song Wang Xiaodong Yang Rashidul Islam Huiyuan Chen Minghua Xu Jundong Li Yiwei Cai OODD 262 3 0 07 Jan 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Joshua Southern Yam Eitan Guy Bar-Shalom Michael M. Bronstein Haggai Maron Fabrizio Frasca 104 1 0 06 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 198 3 0 03 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 430 0 0 03 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 219 2 0 03 Jan 2025
Mixture of Link Predictors on Graphs Li Ma Haoyu Han Juanhui Li Harry Shomer Hui Liu Xiaofeng Gao Jiliang Tang 146 0 0 03 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 152 6 0 31 Dec 2024
A Graph Neural Network deep-dive into successful counterattacks Joris Bekkers Amod Sahasrabudhe GNN 124 2 0 31 Dec 2024
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 147 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 158 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 161 2 0 26 Dec 2024
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study Liangliang Zhang Haoran Bao Yao Ma DD AI4CE 49 1 0 23 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 96 3 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 83 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 154 0 0 20 Dec 2024
Is Peer-Reviewing Worth the Effort? Kenneth Ward Church Raman Chandrasekar John E. Ortega Ibrahim Said Ahmad OOD 111 3 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 90 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 120 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 111 1 0 12 Dec 2024
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains Yunhui Liu Qizhuo Xie Jinwei Shi Jiaxu Shen Tieke He 114 1 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 123 0 0 10 Dec 2024