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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,893 papers shown

Title
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 117 2 0 25 Feb 2025
Structural Alignment Improves Graph Test-Time Adaptation Hans Hao-Hsun Hsu Shikun Liu Han Zhao Pan Li OOD TTA 307 0 0 25 Feb 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 108 0 0 25 Feb 2025
ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases Rikuto Kotoge Ziwei Yang Zheng Chen Yushun Dong Yasuko Matsubara Jimeng Sun Yasushi Sakurai 79 0 0 25 Feb 2025
Graph Augmentation for Cross Graph Domain Generalization Guanzi Chen Jiying Zhang Yang Li 136 0 0 25 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 256 3 0 24 Feb 2025
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification Aarush Sinha OM Kumar CU AI4CE 104 0 0 24 Feb 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 111 0 0 24 Feb 2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning Yang Chen Bin Zhou AAML FedML 65 0 0 24 Feb 2025
AnyTop: Character Animation Diffusion with Any Topology Inbar Gat Sigal Raab Guy Tevet Yuval Reshef Amit H. Bermano Daniel Cohen-Or DiffM 134 3 0 24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 285 23 0 24 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 220 3 0 24 Feb 2025
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation Guokai Sun Yuan Zhuang Shuo Zhang Xiaoyu Feng Zhenguang Liu Liguo Zhang 71 0 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 73 0 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 191 1 0 24 Feb 2025
Scale-Free Graph-Language Models Jianglin Lu Yixuan Liu Yitian Zhang Y. Fu 107 1 0 24 Feb 2025
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems Maksim Zhdanov Max Welling Jan-Willem van de Meent AI4CE 119 3 0 24 Feb 2025
To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders Guillaume Salha-Galvan Jiaying Xu 68 0 0 23 Feb 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking Yingjian Chen Haoran Liu Yinhong Liu Rui Yang Han Yuan ... Pengyuan Zhou Peng Yuan Zhou Qingyu Chen James Caverlee Irene Li HILM 133 0 0 23 Feb 2025
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations Laurin Lux Alexander H. Berger Maria Romeo Tricas Alaa E. Fayed Siyang Song Linus Kreitner Jonas Weidner Martin J. Menten Daniel Rueckert Johannes C. Paetzold 84 2 0 23 Feb 2025
MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation Xuqi Mao Zhenying He Xiaoyang Sean Wang 118 0 0 23 Feb 2025
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis Yilun Zheng Sha Li Fangkun Wu Yang Ziyi Lin Hongchao ... Ziming Wang Jinxuan Chen Sitao Luan Jiahao Xu Lihui Chen 115 0 0 23 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 205 4 0 23 Feb 2025
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks Xuqi Mao Zheyu Chen Zhenying He Yinan Jing Kai Zhang Xiaotao Wang 116 3 0 22 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 121 1 0 22 Feb 2025
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification Tuan-Anh Yang Truong-Son Hy Phuong D. Dao 70 0 0 22 Feb 2025
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling Heng Chang Liang Gu Cheng Hu Zhinan Zhang Hong Zhu Yuhui Xu Yuan Fang Zhen Chen 101 0 0 22 Feb 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network Dongsheng Chen Yu Feng Xun Li Mingya Qu Peng Luo Liqiu Meng HAI AI4CE 89 2 0 22 Feb 2025
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths Xuqi Mao Zhenying He Xiaoyang Sean Wang 95 1 0 22 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 113 0 0 21 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tönshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 243 7 0 21 Feb 2025
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas Muhammad Umair Danish Madhushan Buwaneswaran Tehara Fonseka Katarina Grolinger AI4CE 98 1 0 21 Feb 2025
SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection Tanzim Mahfuz Pravin Gaikwad Tasneem Suha Swarup Bhunia Prabuddha Chakraborty 69 0 0 21 Feb 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks Mayar Lotfy Anna Alperovich Tommaso Giannantonio Bjorn Barz Xiaohan Zhang ... Nassir Navab F. Boehm Carolin Schwamborn Thomas K. Hoffmann PatrickJ. Schuler 292 1 0 21 Feb 2025
Towards Invariance to Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 184 4 0 20 Feb 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 116 1 0 20 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 105 1 0 20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 293 4 0 20 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 201 3 0 20 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 147 0 0 20 Feb 2025
A Comprehensive Survey on Composed Image Retrieval Xuemeng Song Haoqiang Lin Haokun Wen Bohan Hou Mingzhu Xu Liqiang Nie 131 3 0 19 Feb 2025
MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs Xinxin You Xien Liu Xue Yang Ziyi Wang Ji Wu 92 0 0 19 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 86 1 0 18 Feb 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees Ally Yalei Du Eric Huang Dravyansh Sharma 155 1 0 18 Feb 2025
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer Delvin Ce Zhang Menglin Yang Xiaobao Wu Jiasheng Zhang Hady W. Lauw 165 0 0 17 Feb 2025
MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure Fatih Deniz Mohamed Nabeel Ting Yu Issa M. Khalil 63 1 0 17 Feb 2025
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs Hao Li Hao Jiang Yuke Zheng Hao Sun Wenying Gong 60 0 0 17 Feb 2025
Invisible Walls in Cities: Leveraging Large Language Models to Predict Urban Segregation Experience with Social Media Content Bingbing Fan Lin Chen Songwei Li Jian Yuan Fengli Xu Pan Hui Yong Li 408 2 0 17 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 144 13 0 15 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 137 2 0 14 Feb 2025