Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
Code for "Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits"
FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction
[ISPRS 2023]Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"
An example of running a pytorch-geometric graph attention model in nvidia triton.
Chromatin interaction aware gene regulatory modeling with graph attention networks
Recurrent Visual Attention Model
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
TensorFlow Implementation of Graph Attention Network and Graph Convolutional Network
Neural Attention Model for Abstractive Summarization
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Plot the vector graph of attention based text visualisation
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
Convert ONNX model graph to Keras model format.
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Sequence-to-sequence model with LSTM encoder/decoders and attention
A neural attention model for speech command recognition
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)