v1v2v3v4v5v6v7 (latest)

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
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie 21 0 0 01 Jul 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 196 0 0 01 Jul 2025
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification Yancheng Wang Yingzhen Yang 65 2 0 01 Jul 2025
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Vijay Prakash Dwivedi Charilaos I. Kanatsoulis Shenyang Huang Jure Leskovec GNN 3DV 42 0 0 19 Jun 2025
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI Hang Yang Yusheng Hu Yong Liu Cong 14 0 0 18 Jun 2025
Taxonomy of reduction matrices for Graph Coarsening Antonin Joly Nicolas Keriven Aline Roumy 22 0 0 13 Jun 2025
HSG-12M: A Large-Scale Spatial Multigraph Dataset Xianquan Yan Hakan Akgün Kenji Kawaguchi N. Duane Loh Ching Hua Lee 21 0 0 10 Jun 2025
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Michael Färber David Lamprecht Yuni Susanti 20 0 0 10 Jun 2025
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Xingbo Fu Zehong Wang Zihan Chen Jiazheng Li Yaochen Zhu Zhenyu Lei Cong Shen Yanfang Ye Chuxu Zhang Jundong Li AI4CE VLM 25 0 0 10 Jun 2025
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Haoyu Wang Peihao Wang Mufei Li Shikun Liu Siqi Miao Zhangyang Wang P. Li 20 0 0 09 Jun 2025
Positional Encoding meets Persistent Homology on Graphs Yogesh Verma Amauri Souza Vikas Garg 47 0 0 06 Jun 2025
Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu 45 0 0 06 Jun 2025
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research M. Park Sunghyun Choi Jaeseung Heo Eunhyeok Park Dongwoo Kim AI4CE 111 1 0 05 Jun 2025
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner Runa Eschenhagen Aaron Defazio Tsung-Hsien Lee Richard Turner Hao-Jun Michael Shi 78 0 0 04 Jun 2025
Out-of-Distribution Graph Models Merging Yidi Wang Jiawei Gu pei Xiaobing Xubin Zheng Xiao Luo Pengyang Wang Ziyue Qiao MoMe OODD 111 0 0 04 Jun 2025
HAM: A Hyperbolic Step to Regulate Implicit Bias Tom Jacobs Advait Gadhikar Celia Rubio-Madrigal R. Burkholz 79 0 0 03 Jun 2025
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels Rishi Raj Sahoo Rucha Bhalchandra Joshi Subhankar Mishra AAML 22 0 0 02 Jun 2025
Studying and Improving Graph Neural Network-based Motif Estimation Pedro C. Vieira Miguel E. P. Silva Pedro Manuel Pinto Ribeiro 21 0 0 30 May 2025
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Wei Zhuo Zhaohuan Zhan Ziduo Yang Han Yu FedML 22 0 0 29 May 2025
Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization Linli Zhou Bokun Wang My T. Thai Tianbao Yang 20 0 0 28 May 2025
The quest for the GRAph Level autoEncoder (GRALE) Paul Krzakala Gabriel Melo Charlotte Laclau Florence dÁlché-Buc Rémi Flamary 48 0 0 28 May 2025
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Wei Li Mengcheng Lan Jiaxing Xu Yiping Ke 27 0 0 28 May 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 42 0 0 27 May 2025
'Hello, World!': Making GNNs Talk with LLMs Sunwoo Kim Soo Yong Lee Jaemin Yoo Kijung Shin AI4CE 48 0 0 27 May 2025
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction Juntong Wang Xiyuan Wang Muhan Zhang 110 0 0 26 May 2025
Learn Beneficial Noise as Graph Augmentation Siqi Huang Yanchen Xu Hongyuan Zhang Xuelong Li 41 2 0 25 May 2025
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph Qiaosheng Chen Kaijia Huang Xiao Zhou Weiqing Luo Yuanning Cui Gong Cheng CVBM VLM 87 0 0 23 May 2025
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks? Nicolas Keriven 49 0 0 22 May 2025
Model-Free Graph Data Selection under Distribution Shift Ting-Wei Li Ruizhong Qiu Hanghang Tong OOD 61 0 0 22 May 2025
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization Ziqing Wang Kexin Zhang Zihan Zhao Yibo Wen Abhishek Pandey Han Liu Kaize Ding 79 0 0 22 May 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao Qianyi Cai Hao Dong Jiawei Gu Pengyang Wang Meng Xiao Xiao Luo Hui Xiong CLL 109 1 0 22 May 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps Jiawei Gu Ziyue Qiao Zechao Li 125 0 0 21 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 215 0 0 20 May 2025
Nonparametric Teaching for Graph Property Learners Chen Zhang Weixin Bu Zhaochun Ren Ziyue Liu Yik-Chung Wu Ngai Wong 145 0 0 20 May 2025
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings Adrien Lagesse Marc Lelarge 77 0 0 19 May 2025
Schreier-Coset Graph Propagation Aryan Mishra Lizhen Lin 109 0 0 15 May 2025
Efficient Mixed Precision Quantization in Graph Neural Networks Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 71 0 0 14 May 2025
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction Yanbin Wei Xuehao Wang Zhan Zhuang Yang Chen Shuhao Chen Yulong Zhang Yu Zhang James T. Kwok 81 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 65 0 0 13 May 2025
Interpreting Graph Inference with Skyline Explanations Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 68 0 0 12 May 2025
Fused3S: Fast Sparse Attention on Tensor Cores Zitong Li Aparna Chandramowlishwaran GNN 99 0 0 12 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Meng Xiao Ziyue Qiao Pengyang Wang Yuanchun Zhou 468 1 0 08 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training Aditya K. Ranjan Siddharth Singh Cunyang Wei A. Bhatele GNN 109 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 84 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 424 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 72 0 0 02 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Miao Hu Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 71 0 0 02 May 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 137 0 0 28 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 409 0 0 25 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 78 1 0 25 Apr 2025