Graph Attention Network

Graph Attention Networks (GATs) are a type of graph neural network designed to learn relationships within graph-structured data by assigning attention weights to different nodes based on their relevance to a given task. Current research focuses on improving GAT performance in various applications, including developing more sophisticated attention mechanisms, addressing limitations in handling heterophilic graphs and long-range dependencies, and integrating GATs with other techniques like transformers and multi-modal data fusion. This work has significant implications across diverse fields, enabling advancements in areas such as drug discovery, financial modeling, image analysis, and social network analysis through improved data representation and predictive modeling.

Papers

May 22, 2023

Distributed Learning over Networks with Graph-Attention-Based Personalization
Zhuojun Tian, Zhaoyang Zhang, Zhaohui Yang, Richeng Jin, Huaiyu Dai
Deep Learning LeArning Abstract Network Programming Graph Attention Network Weight Aggregation Graph Attention Mechanism

May 12, 2023

Fisher Information Embedding for Node and Graph Learning
Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt
Graph Learning Graph Attention Network Graph Attention Fisher Information Attention Graph Attention Based Graph Neural Network

May 9, 2023

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
Graph Attention Network Heterogeneous Graph Neural Network Financial Time Series Stock Movement Prediction Relation Graph

April 21, 2023

April 7, 2023

BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection
Yalu Wang, Zhijie Han, Jie Li, Xin He
Graph Neural Network Graph Attention Network Intrusion Detection Network Intrusion Detection Behavioral Similarity

March 29, 2023

Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
Rui Luo, Vikram Krishnamurthy
Graph Attention Network Sport Analytics Temporal Convolution Player Performance Sport Data Player Interaction

March 27, 2023

Knowledge Enhanced Graph Neural Networks for Graph Completion
Luisa Werner, Nabil Layaïda, Pierre Genevès, Sarah Chlyah
Graph Attention Network Graph Completion

March 26, 2023

FairGAT: Fairness-aware Graph Attention Networks
O. Deniz Kose, Yanning Shen
Graph Neural Network Graph Attention Network Group Fairness Algorithmic Bias Fairness Assessment

March 25, 2023

Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA)
U. Nazir, W. Islam, M. Taj
Neural Network Graph Attention Network Satellite Imagery Adjacency Matrix Spatio Temporal Learning

February 28, 2023

Multi-Layer Attention-Based Explainability via Transformers for Tabular Data
Andrea Treviño Gavito, Diego Klabjan, Jean Utke
Transformer Megatron Decepticons High Explainability Tabular Data Graph Attention Network Attention Based Attention Matrix

February 20, 2023

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Graph Transformer Graph Attention Network Traffic Forecasting Dynamic Model High Quality Sensor Similar Pair Temporal Traffic

February 13, 2023

A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
Graph Neural Network Comprehensive Survey Graph Attention Network Graph Summarization Neural Summarization

February 11, 2023

Multi-class Brain Tumor Segmentation using Graph Attention Network
Dhrumil Patel, Dhruv Patel, Rudra Saxena, Thangarajah Akilan
Tumor Segmentation Graph Attention Network Brain Tumor Segmentation

February 7, 2023

Heterophily-Aware Graph Attention Network
Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang
Graph Neural Network Graph Representation Learning Graph Attention Network

February 1, 2023

For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
Zihao Pan, Kai Peng, Shuai Ling, Haipeng Zhang
Graph Attention Network Underrepresented Group Name Gender

January 18, 2023

Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism
Nikolaos Gkalelis, Dimitrios Daskalakis, Vasileios Mezaris
Line by Line Explanation Graph Attention Network Gating Mechanism Event Based Object Recognition Video Event Gated Camera Frame Selection

January 16, 2023

Adaptive Depth Graph Attention Networks
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Rui Zhang
Graph Attention Network GNN Model GNN Architecture Attention Based Depth

January 7, 2023

Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings
Yeskendir Koishekenov
Graph Neural Network Graph Attention Network Graph Node Undisciplined Over Smoothing Relational Embeddings GNN Application

January 4, 2023

GUAP: Graph Universal Attack Through Adversarial Patching
Xiao Zang, Jie Chen, Bo Yuan
Adversarial Attack Graph Attention Network Adversarial Patch Attack Performance Graph Adversarial Attack Imagenet Transfer