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 / 90 papers shown

Title
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 11 0 0 08 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning Rui Lv Z. Zhang Kai Zhang Qi Liu Weibo Gao J. H. Liu Jiaxia Yan Linan Yue Fangzhou Yao 29 0 0 04 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 15 0 0 02 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 22 0 0 02 May 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 29 0 0 28 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 30 0 0 25 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 65 0 0 25 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 47 3 0 18 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 40 0 0 17 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Azadeh Beiranvand Seyed Mehdi Vahidipour 22 0 0 16 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 37 1 0 07 Apr 2025
MARIOH: Multiplicity-Aware Hypergraph Reconstruction Kyuhan Lee Geon Lee Kijung Shin 46 0 0 01 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 51 0 0 16 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 40 0 0 13 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 103 0 0 13 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 52 5 0 13 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 41 1 0 02 Mar 2025
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends Atul Anand Gopalakrishnan Jakir Hossain Tugrulcan Elmas Ahmet Erdem Sariyuce GNN 24 0 0 01 Mar 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 49 1 0 24 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 41 3 0 21 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang 30 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 33 4 0 17 Feb 2025
Prompt-Driven Continual Graph Learning Qi Wang Tianfei Zhou Ye Yuan Rui Mao CLL 30 0 0 10 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 41 0 0 09 Feb 2025
A Metric for the Balance of Information in Graph Learning Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 41 0 0 31 Jan 2025
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs Leyao Wang Yu-Chiang Frank Wang Bo Ni Yuying Zhao Tyler Derr 31 0 0 28 Jan 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 77 19 0 28 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 36 1 0 23 Jan 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 86 0 0 22 Jan 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 40 0 0 17 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 36 0 0 10 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 50 11 0 10 Jan 2025
CDC: A Simple Framework for Complex Data Clustering Zhao Kang Xuanting Xie Bingheng Li Erlin Pan 79 8 0 10 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 50 1 0 03 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Y. Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 42 0 0 03 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 26 0 0 03 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 75 1 0 03 Jan 2025
A Graph Neural Network deep-dive into successful counterattacks Joris Bekkers Amod Sahasrabudhe GNN 61 1 0 31 Dec 2024
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 45 4 0 31 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 37 0 0 26 Dec 2024
Multi-Field Adaptive Retrieval Millicent Li Tongfei Chen Benjamin Van Durme Patrick Xia 35 0 0 26 Oct 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 17 0 0 25 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 R. Li Jundong Li Kaize Ding OOD 35 2 0 25 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 18 3 0 17 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 31 6 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 23 0 0 12 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen J. Wang Han Liu Kyumin Lee Kaize Ding GNN 74 1 0 09 Oct 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 25 0 0 21 Sep 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 22 3 0 03 Aug 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 32 1 0 02 Jul 2024