How Powerful are Graph Neural Networks?

1 October 2018

Papers citing "How Powerful are Graph Neural Networks?"

50 / 1,116 papers shown

Title
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 29 0 0 13 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 31 0 0 13 May 2025
The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic Bernardo Cuenca Grau Przemysław A. Wałęga AI4CE 19 0 0 12 May 2025
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Gregoire Fournier Sourav Medya BDL 44 0 0 11 May 2025
Multi-Modal Molecular Representation Learning via Structure Awareness Rong Yin Ruyue Liu Xiaoshuai Hao Xingrui Zhou Y. Liu Can Ma Weiping Wang 29 0 0 09 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
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 46 0 0 06 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 33 0 0 04 May 2025
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking Alireza Sadeghi F. Hajati A. Argha Nigel H Lovell Min Yang Hamid Alinejad-Rokny 34 0 0 03 May 2025
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Yue Meng Chuchu Fan 38 0 0 01 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit Eran Rosenbluth Martin Grohe 19 0 0 01 May 2025
Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction L. Zhang Xin Dong Shuaibing Jia J. Zhang 21 0 0 01 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 85 1 0 29 Apr 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer Z. Li J. Q. Shi X. Zhang Miao Zhang B. Li 44 0 0 29 Apr 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 127 1 0 29 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 31 0 0 28 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 129 0 0 28 Apr 2025
Learning Hierarchical Interaction for Accurate Molecular Property Prediction Huiyang Hong Xinkai Wu Hongyu Sun Chaoyang Xie Qi Wang Y. Li 33 0 0 28 Apr 2025
Learning Efficiency Meets Symmetry Breaking Yingbin Bai Sylvie Thiébaux Felipe Trevizan 32 0 0 28 Apr 2025
Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation Xiang Li Haixu Ma Guanyong Wu Shi Mu C. Li Shunpan Liang 38 0 0 25 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 139 0 0 25 Apr 2025
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks Finn Gueterbock Raúl Santos-Rodríguez Jeffrey N Clark 24 0 0 23 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Jia Li Fugee Tsung Jia Li Fugee Tsung Hongzhi Yin Tao Zheng Jianhua Zhao Tieke He 31 0 0 19 Apr 2025
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 53 0 0 17 Apr 2025
BRepFormer: Transformer-Based B-rep Geometric Feature Recognition Yongkang Dai Xiaoshui Huang Yunpeng Bai Hao Guo Hongping Gan Ling Yang Yilei Shi 44 0 0 10 Apr 2025
Flexible Graph Similarity Computation With A Proactive Optimization Strategy Zhouyang Liu Ning Liu Yixin Chen Jiezhong He Dongsheng Li 34 0 0 09 Apr 2025
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 48 2 0 03 Apr 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 43 0 0 31 Mar 2025
Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach F. Alharbi Nishant Budhiraja Aleksandar Vakanski Boyu Zhang Murtada K. Elbashir Hrshith Gudur Mohanad Mohammed 39 0 0 29 Mar 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology Amaya Gallagher-Syed Henry Senior Omnia Alwazzan Elena Pontarini Michele Bombardieri C. Pitzalis M. Lewis Michael Barnes Luca Rossi Gregory G. Slabaugh 41 0 0 26 Mar 2025
Causal invariant geographic network representations with feature and structural distribution shifts Yuhan Wang Silu He Qinyao Luo Hongyuan Yuan Ling Zhao Jiawei Zhu Haifeng Li OOD 64 0 0 25 Mar 2025
NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products Yuheng Ding Yusong Wang Bo Qiang Jie Yu Qi Li Yiran Zhou Zhenmin Liu 156 0 0 22 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
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 106 0 0 13 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks Xiao Yue Guangzhi Qu Lige Gan GAN FAtt AI4CE 63 0 0 08 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers Xuexin Chen Ruichu Cai Zhengting Huang Zijian Li Jie Zheng Min Wu 41 0 0 08 Mar 2025
Bridging Molecular Graphs and Large Language Models Runze Wang Mingqi Yang Yanming Shen 62 0 0 05 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 82 0 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
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 48 1 0 02 Mar 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings Sidharth Agarwal Tanishq Dubey Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 37 0 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 36 0 0 01 Mar 2025
Learning with Exact Invariances in Polynomial Time Ashkan Soleymani B. Tahmasebi Stefanie Jegelka P. Jaillet 67 0 0 27 Feb 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Y. Wang Xinnan Dai Wenqi Fan Yao Ma 76 1 0 26 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 66 22 0 24 Feb 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 61 1 0 24 Feb 2025
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 55 4 0 23 Feb 2025