There are 5 repositories under graph-attention-network topic.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
A list of recent papers about Graph Neural Network methods applied in NLP areas.
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
GraphSAGE and GAT for link prediction.
The GitHub repository for the paper "Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations"
PyTorch implementation of Graph Attention Networks
Course project of SJTU CS3319: Foundations of Data Science, 2023 spring
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
Pytorch implementation of graph attention network
A deep learning library to rank protein complexes using graph neural networks
This repository contain the unofficial implementation of the graph attention neural network.
Modeling Extent-of-Texture Information for Ground Terrain Recognition
Keyphrase extraction using graph convolution
Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.
Source code accompanying the paper "Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings" published in DLG-AAAI’23
Gated-ViGAT. Code and data for our paper: N. Gkalelis, D. Daskalakis, V. Mezaris, "Gated-ViGAT: Efficient bottom-up event recognition and explanation using a new frame selection policy and gating mechanism", IEEE International Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.
A Drug Metabolite & Toxicity Property Predictor Based on Graph Neural Network
This repository contains the source code for our Senior Capstone Project, a cornerstone of the Data Science major at UC San Diego.
Dense and Sparse Implementation of GAT written by PyTorch
An implementation of multi-view graph attention network
Graph Attention Networks (GATs)