Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 2,668 papers shown

Title
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery Lianhao Yin Yutong Ban J. Eckhoff O. Meireles Daniela Rus Guy Rosman 41 1 0 03 Feb 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 26 13 0 31 Jan 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 38 2 0 28 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 26 3 0 28 Jan 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 33 6 0 26 Jan 2024
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection H. Jo Seong-Whan Lee 30 2 0 25 Jan 2024
Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo Xiao Wang Shaohua Fan Chuan Shi 32 14 0 23 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 39 9 0 22 Jan 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 33 14 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 32 16 0 22 Jan 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification Yu Zhu Kang Li Lequan Yu Pheng-Ann Heng VLM 34 0 0 22 Jan 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling Mingjian Li Mingyuan Meng M. Fulham David Dagan Feng Lei Bi Jinman Kim VLM 42 1 0 19 Jan 2024
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation T. Hoang T. Pham Viet-Cuong Ta GNN 20 3 0 12 Jan 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 45 3 0 11 Jan 2024
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction Yu Liu Yuexin Zhang Kunming Li Yongliang Qiao Stewart Worrall Youfu Li He Kong 26 1 0 10 Jan 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 42 1 0 08 Jan 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling Jiawei Lu Tinghan Ye Wenbo Chen Pascal Van Hentenryck AI4TS 38 0 0 08 Jan 2024
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction Haiyang Liu Chunjiang Zhu Detian Zhang AI4TS 24 0 0 07 Jan 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations Rui She Sijie Wang Qiyu Kang Kai Zhao Yang Song Wee Peng Tay Tianyu Geng Xingchao Jian DiffM 3DPC 41 2 0 06 Jan 2024
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 29 5 0 28 Dec 2023
Molecular Property Prediction Based on Graph Structure Learning Bangyi Zhao Weixia Xu Jihong Guan Shuigeng Zhou 19 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 28 1 0 28 Dec 2023
Graph Neural Networks for Antisocial Behavior Detection on Twitter Martina Toshevska S. Kalajdziski Sonja Gievska 21 0 0 28 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 57 7 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 21 1 0 26 Dec 2023
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 24 31 0 22 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 45 12 0 21 Dec 2023
Molecular Hypergraph Neural Networks Junwu Chen Philippe Schwaller GNN 47 10 0 20 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies Jared Strader Nathan Hughes William Chen Alberto Speranzon Luca Carlone 3DV 17 18 0 18 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 33 17 0 18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 21 7 0 18 Dec 2023
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter Ying-Ying Chang Wei-Yao Wang Wenjie Peng 32 4 0 17 Dec 2023
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 19 10 0 17 Dec 2023
Towards Trustworthy AI Software Development Assistance Daniel Maninger Krishna Narasimhan Mira Mezini 32 3 0 14 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 29 0 0 13 Dec 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation Wenjie Wu Changjun Fan Jin-Yu Huang Zhong Liu Junchi Yan 28 0 0 13 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Robust Graph Neural Network based on Graph Denoising Victor M. Tenorio Samuel Rey Antonio G. Marques AAML 34 1 0 11 Dec 2023
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 20 0 0 09 Dec 2023
$Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks$ Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks Ege Erdogan Simon Geisler Stephan Günnemann AAML 24 0 0 09 Dec 2023
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering Yuanyuan Guo Zehua Zang Hang Gao Xiao Xu Rui Wang Lixiang Liu Jiangmeng Li 26 5 0 08 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 30 4 0 07 Dec 2023
Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation Xiaobo Hu Youfang Lin Hehe Fan Shuo Wang Zhihao Wu Kai Lv 34 3 0 06 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 43 5 0 05 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 35 1 0 04 Dec 2023
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks Gokul S Krishnan Sarala Padi Craig S. Greenberg Balaraman Ravindran Dinesh Manoch Ram D.Sriram 43 2 0 04 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo Vishal Asnani Sijia Liu Xiaoming Liu 27 5 0 03 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini Amanda Prorok Vincent Moens OffRL 34 15 0 03 Dec 2023
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks Roy T. Forestano Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu GNN 29 8 0 30 Nov 2023