Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 2,500 papers shown

Title
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuang Hu Yuanyuan Zhu Bo Du Jia Wu Jiawei Jiang 29 0 0 13 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 29 0 0 13 May 2025
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 37 2 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
Generating Skyline Explanations for Graph Neural Networks Dazhuo Qiu Haolai Che Arijit Khan Yinghui Wu 38 0 0 12 May 2025
$Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network$ Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network Jai Bardhan Tanumoy Mandal Subhadip Mitra Cyrin Neeraj Mihir Rawat 28 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
Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition Andrew Kiruluta Eric Lundy Priscilla Burity 24 0 0 09 May 2025
A Noise-Resilient Semi-Supervised Graph Autoencoder for Overlapping Semantic Community Detection Abdelfateh Bekkair Slimane Bellaouar Slimane Oulad-Naoui 24 0 0 09 May 2025
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models Alejandro Velez-Arce Marinka Zitnik 24 0 0 08 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 152 0 0 08 May 2025
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng 31 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
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network Hong Jin Kaicheng Zhou Jie Yin Lan You Zhifeng Zhou 34 0 0 07 May 2025
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype Changxi Chi Jun-Xiong Xia Jingbo Zhou Jiabei Cheng Chang Yu Stan Z. Li 34 0 0 06 May 2025
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Shenglan Li Rui Yao Yong Zhou Hancheng Zhu K. Sun Bing-Quan Liu Zhiwen Shao Jiaqi Zhao DiffM 33 0 0 06 May 2025
Robust Understanding of Human-Robot Social Interactions through Multimodal Distillation Tongfei Bian Mathieu Chollet T. Guha 26 0 0 06 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
Deep Representation Learning for Electronic Design Automation Pratik Shrestha Saran Phatharodom Alec Aversa David Blankenship Zhengfeng Wu Ioannis Savidis 22 0 0 04 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 33 0 0 04 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 143 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 41 0 0 03 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 53 0 0 03 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 35 0 0 02 May 2025
Addressing Noise and Stochasticity in Fraud Detection for Service Networks Wenxin Zhang Ding Xu Xi Xuan Lei Jiang Guangzhen Yao Renda Han Xiangxiang Lang Cuicui Luo 125 0 0 02 May 2025
Phantora: Live GPU Cluster Simulation for Machine Learning System Performance Estimation Jianxing Qin Jingrong Chen Xinhao Kong Yongji Wu Liang Luo Z. Wang Ying Zhang Tingjun Chen Alvin R. Lebeck Danyang Zhuo 128 0 0 02 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 33 0 0 02 May 2025
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs Yijie Jin Junjie Peng Xuanchao Lin Haochen Yuan Lan Wang Cangzhi Zheng 37 0 0 02 May 2025
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction Hong Xin Xie Jian De Sun Fan Fu Xue Zi Fei Han S. Feng Qi Chen 51 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
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning Sixuan Wang Jiao Yin Jinli Cao MingJian Tang Hua Wang Yanchun Zhang GNN AI4CE 53 0 0 30 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
QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks Hanjing Xu Xiaoyuan Liu Alex Pothen Ilya Safro GNN 43 0 0 29 Apr 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Junyuan Fang Han Yang Haixian Wen Jiajing Wu Zibin Zheng Chi K. Tse AAML 46 0 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 133 1 0 29 Apr 2025
Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS Chengkai Yang Xingping Dong Xiaofen Zong 24 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
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 87 1 0 29 Apr 2025
Learning Hierarchical Interaction for Accurate Molecular Property Prediction Huiyang Hong Xinkai Wu Hongyu Sun Chaoyang Xie Qi Wang Y. Li 38 0 0 28 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 142 0 0 28 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 38 0 0 28 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 174 0 0 25 Apr 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching Vignesh Balaji Christos Kozyrakis Gal Chechik Haggai Maron GNN 37 0 0 25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 158 0 0 25 Apr 2025
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation Gérome Andry François Rozet Sacha Lewin Omer Rochman Victor Mangeleer Matthias Pirlet Elise Faulx Marilaure Grégoire Gilles Louppe AI4Cl 66 1 0 25 Apr 2025
QuantBench: Benchmarking AI Methods for Quantitative Investment Saizhuo Wang Hao Kong Jiadong Guo Fengrui Hua Yiyan Qi Wanyun Zhou Jiahao Zheng Xinyu Wang Lionel M. Ni Jian Guo 150 1 0 24 Apr 2025
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Haokai Zhang Shengtao Zhang Zijian Cai Heng Wang Ruixuan Zhu Zinan Zeng Minnan Luo 54 0 0 24 Apr 2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks Mao Wang Tao Wu Xingping Xian Shaojie Qiao Weina Niu Canyixing Cui 32 0 0 23 Apr 2025