Best Graph Neural Network architectures: GCN, GAT, MPNN and more | AI Summer
Papers with Code on Twitter: "3) Graph Attention Network (GAT) is a graph neural network that leverages masked self-attentional layers. Hidden representations of nodes are computed by attending to neighbours using self-attention.
Constrained Graph Attention Networks | A Rambling On
Graph Attention Networks (GAT) in 5 minutes - YouTube
☝️⚙️ Edge#205: What is Graph Attention Network?
![PDF] r-GAT: Relational Graph Attention Network for Multi-Relational Graphs | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/5682e2a665d55460aabfe880b869156b3e1711b8/3-Figure2-1.png "PDF] r-GAT: Relational Graph Attention Network for Multi-Relational Graphs | Semantic Scholar")
PDF] r-GAT: Relational Graph Attention Network for Multi-Relational Graphs | Semantic Scholar
GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification | BMC Bioinformatics | Full Text
Graph Attention Networks - Mila
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations | bioRxiv
GAT Network (@gat_network) / Twitter
NFT Gaming+Trading - GAT Network
NFT Gaming+Trading - GAT Network
Peide Cai | DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Best Graph Neural Network architectures: GCN, GAT, MPNN and more | AI Summer
The Origin-Destination-based Temporal Graph Attention Network (OD-TGAT). | Download Scientific Diagram
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations | bioRxiv
Sensors | Free Full-Text | Gated Graph Attention Network for Cancer Prediction
GAT Network Company Profile: Valuation & Investors | PitchBook
