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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
On the Expressive Power of Graph Neural Networks Ashwin Nalwade Kelly Marshall Axel Eladi Umang Sharma 42 0 0 03 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 72 0 0 02 Jan 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng Philip Yu 93 17 0 02 Jan 2024
Strong Transitivity Relations and Graph Neural Networks Yassin Mohamadi M. H. Chehreghani GNN 52 2 0 01 Jan 2024
Saliency-Aware Regularized Graph Neural Network Wenjie Pei Weina Xu Zongze Wu Weichao Li Jinfan Wang Guangming Lu Xiangrong Wang 43 5 0 01 Jan 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data Michalis Pistos Gang Li Weili Lin Dinggang Shen I. Rekik 52 0 0 01 Jan 2024
A clean-label graph backdoor attack method in node classification task Xiaogang Xing Ming Xu Yujing Bai Dongdong Yang AAML 209 9 0 30 Dec 2023
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph Jinhao Jiang Kun Zhou Wayne Xin Zhao Yaliang Li Ji-Rong Wen LRM 77 27 0 30 Dec 2023
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System Xiaotong Guo Hanyong Xu Dingyi Zhuang Yunhan Zheng Jinhua Zhao 58 7 0 29 Dec 2023
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 78 5 0 28 Dec 2023
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 57 1 0 28 Dec 2023
Molecular Property Prediction Based on Graph Structure Learning Bangyi Zhao Weixia Xu Jihong Guan Shuigeng Zhou 59 9 0 28 Dec 2023
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures Van Thuy Hoang O-Joun Lee 50 7 0 28 Dec 2023
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 63 1 0 28 Dec 2023
Graph Neural Networks for Antisocial Behavior Detection on Twitter Martina Toshevska S. Kalajdziski Sonja Gievska 53 0 0 28 Dec 2023
Balancing Priorities in Patrolling with Rabbit Walks Rugved Katole Deepak Mallya Leena Vachhani Arpita Sinha 13 1 0 27 Dec 2023
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 52 0 0 27 Dec 2023
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting Weijun Chen Heyuan Wang Ye Tian Shijie Guan Ning Liu AI4TS 35 1 0 27 Dec 2023
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Chenyang Qiu Gu Nan Tianyu Xiong Wendi Deng Di Wang Zhiyang Teng Lijuan Sun Qimei Cui Xiaofeng Tao 73 5 0 27 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 216 10 0 27 Dec 2023
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation Zi-Feng Mai Chang-Dong Wang Zhongjie Zeng Ya Li Jiaquan Chen Philip S. Yu 57 1 0 26 Dec 2023
Swap-based Deep Reinforcement Learning for Facility Location Problems in Networks Wenxuan Guo Yanyan Xu Yaohui Jin 46 1 0 25 Dec 2023
Learning Lagrangian Multipliers for the Travelling Salesman Problem Augustin Parjadis Quentin Cappart B. Dilkina Aaron Ferber Louis-Martin Rousseau 73 2 0 22 Dec 2023
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks Taha Eghtesad Sirui Li Yevgeniy Vorobeychik Aron Laszka 32 1 0 22 Dec 2023
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning Liang Peng Songyue Cai Zongqian Wu Huifang Shang Xiaofeng Zhu Xiaoxiao Li 112 15 0 22 Dec 2023
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Qingming Huang 48 28 0 22 Dec 2023
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge Jiaming Lu Jingqing Ruan Haoyuan Jiang Ziyue Li Hangyu Mao Rui Zhao 76 12 0 22 Dec 2023
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification Minghui Liao Guojia Wan Bo Du 54 4 0 22 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation Yilun Liu Ruihong Qiu Yanran Tang Hongzhi Yin Zi Huang 131 5 0 22 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 95 35 0 22 Dec 2023
Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits Qi Xu Lijie Wang Jing Wang Lin Cheng Song Chen Yi Kang 58 4 0 22 Dec 2023
Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction Yuke Li Lixiong Chen Guan-Hong Chen Ching-Yao Chan Kun Zhang Stefano Anzellotti Donglai Wei 61 0 0 22 Dec 2023
TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent Potential Temperature Jun Park Changhoon Lee 57 3 0 22 Dec 2023
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks Gaël Gendron Yang Chen Mitchell Rogers Yiping Liu Mihailo Azhar ... Simon Eyre Michael Witbrock Gillian Dobbie Jiamou Liu Patrice Delmas CML 18 3 0 21 Dec 2023
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning Jiangmeng Li Yifan Jin Hang Gao Jingyao Wang Changwen Zheng Gang Hua 70 5 0 21 Dec 2023
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation Haofeng Yuan Lichang Fang Shiji Song 60 4 0 21 Dec 2023
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA Chengen Lai Shengli Song Shiqi Meng Jingyang Li Sitong Yan Guangneng Hu 57 5 0 21 Dec 2023
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 126 12 0 21 Dec 2023
Molecular Hypergraph Neural Networks Junwu Chen Philippe Schwaller GNN 93 11 0 20 Dec 2023
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering Haili Ye Xiaoqing Zhang Yan Hu Huazhu Fu Jiang-Dong Liu 111 4 0 20 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 104 14 0 20 Dec 2023
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization Aritra Bhowmick Mert Kosan Zexi Huang Ambuj K. Singh Sourav Medya 67 18 0 20 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 107 6 0 19 Dec 2023
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding Yuecen Wei Haonan Yuan Xingcheng Fu Qingyun Sun Hao Peng Xianxian Li Chunming Hu 77 5 0 19 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 158 3 0 19 Dec 2023
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction Haodong Yan Zhiming Hu Syn Schmitt Andreas Bulling DiffM 138 7 0 19 Dec 2023
Relation-Aware Question Answering for Heterogeneous Knowledge Graphs Haowei Du Quzhe Huang Chen Li Chen Zhang Yang Li Dongyan Zhao 48 2 0 19 Dec 2023
3D-LFM: Lifting Foundation Model Mosam Dabhi László A. Jeni Simon Lucey 82 4 0 19 Dec 2023
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection Dongyuan Li Hao Peng Zhengtao Yu Philip S. Yu 95 35 0 19 Dec 2023
Topo-MLP : A Simplicial Network Without Message Passing Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz Mustafa Hajij 90 8 0 19 Dec 2023