Popular GitHub Repositories for Mtad Gat

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!

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

B站GNN教程资料

Multi-turn dialogue baselines written in PyTorch

Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network

Code and Content for Manning Publication on Graph Neural Networks

GraphSAGE and GAT for link prediction.

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

Gradient gating (ICLR 2023)

PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3

[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

[IEEE RA-L 2024] This repository contains the implementation code for the paper "P-GAT : Pose-Graph Attentional Network for Lidar Place Recognition".

PyTorch implementation of GNN models

A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks

Transformer implemented with graph attention network (GAT) layers from PyTorch Geometric

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment

AI Pipeline