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 Mixed Precision Quantization in Graph Neural Networks Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 35 0 0 14 May 2025
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction Yanbin Wei Xuehao Wang Zhan Zhuang Yang Chen Shuhao Chen Yulong Zhang Yu-Jie Zhang James T. Kwok 39 1 0 13 May 2025
Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Weizhi Fei Zihao Wang hang Yin Shukai Zhao Wei Zhang Yangqiu Song NAI 31 0 0 13 May 2025
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
Fused3S: Fast Sparse Attention on Tensor Cores Zitong Li Aparna Chandramowlishwaran GNN 47 0 0 12 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Meng Xiao Ziyue Qiao Pengyang Wang Yuanchun Zhou 210 0 0 08 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 53 0 0 07 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective Limin Li Kuo Yang Wenjie Du Pengkun Wang Zhengyang Zhou Yang Wang OOD AI4CE 56 0 0 07 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning Rui Lv Zhenru Zhang Kai Zhang Qi Liu Weibo Gao Jing Liu Jiaxia Yan Linan Yue Fangzhou Yao 193 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 35 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 37 0 0 02 May 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 38 0 0 28 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 39 0 0 25 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 227 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 75 4 0 18 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 34 0 0 17 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 62 0 0 17 Apr 2025
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition Heesoo Jung Hogun Park 45 2 0 16 Apr 2025
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Azadeh Beiranvand Seyed Mehdi Vahidipour 34 0 0 16 Apr 2025
BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs Mohammad Matin Najafi Xianju Zhu Chrysanthi Kosyfaki L. Lakshmanan Reynold Cheng 29 0 0 15 Apr 2025
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion Nasim Shirvani-Mahdavi F. Akrami Chengkai Li 24 0 0 11 Apr 2025
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling Chaojian Li Zhifan Ye Massimiliano Lupo Pasini Jong Youl Choi Cheng Wan Y. Lin Prasanna Balaprakash 41 0 0 10 Apr 2025
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data David R. Johnson Smita Krishnaswamy Michael Perlmutter DiffM 54 0 0 08 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Zongyue Qin Shichang Zhang Mingxuan Ju Tong Zhao Neil Shah Yizhou Sun 26 0 0 08 Apr 2025
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases Alfred Clemedtson Borun Shi RALM 68 0 0 07 Apr 2025
Sparsity-Aware Communication for Distributed Graph Neural Network Training Ujjaini Mukhodopadhyay Alok Tripathy Oguz Selvitopi Katherine Yelick A. Buluç 47 1 0 07 Apr 2025
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage Yongjun He R. Waleffe Zhichao Han Johnu George Binhang Yuan ... Yinan Shan Yang Zhao Debojyoti Dutta Theodoros Rekatsinas Ce Zhang AIFin 40 0 0 02 Apr 2025
MARIOH: Multiplicity-Aware Hypergraph Reconstruction Kyuhan Lee Geon Lee Kijung Shin 54 0 0 01 Apr 2025
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 62 0 0 31 Mar 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber Eran Treister GNN AI4CE 67 1 0 25 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 73 0 0 23 Mar 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Y. Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 39 0 0 23 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Enhanced Soups for Graph Neural Networks Joseph Zuber Aishwarya Sarkar Joseph Jennings Ali Jannesari 47 0 0 14 Mar 2025
GNNs as Predictors of Agentic Workflow Performances Wenjie Qu Yuchen Hou Bohan Tang Shuo Chen Muhan Zhang Xiaowen Dong Tian Jin LLMAG AI4CE 65 0 0 14 Mar 2025
Multi-View Node Pruning for Accurate Graph Representation Jiseong Park Hanjin Kim Seojin Kim Jueun Choi 41 0 0 14 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 58 0 0 13 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Yansen Wang Wenqi Fan Suhang Wang Yao Ma 43 1 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 78 5 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 111 0 0 13 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 72 0 0 12 Mar 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes Keyue Jiang Bohan Tang Xiaowen Dong Laura Toni 46 0 0 11 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 87 0 0 11 Mar 2025
CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders Jongwon Park Heesoo Jung Hogun Park 56 1 0 10 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 84 0 0 05 Mar 2025
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models Xi Zhu Haochen Xue Ziwei Zhao Wujiang Xu Jingyuan Huang Minghao Guo Qifan Wang Kaixiong Zhou Yongfeng Zhang 67 2 0 05 Mar 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 77 0 0 04 Mar 2025
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers Gilad Yehudai Clayton Sanford Maya Bechler-Speicher Orr Fischer Ran Gilad-Bachrach Amir Globerson 58 0 0 03 Mar 2025
Depth-Adaptive Graph Neural Networks via Learnable Bakry-Émery Curvature Asela Hevapathige Ahad N. Zehmakan Qing Wang 76 0 0 03 Mar 2025
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 52 1 0 02 Mar 2025