graph-attention-networks topic
mtad-gat-pytorch
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).
keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
DeepInf
DeepInf: Social Influence Prediction with Deep Learning
dagnet
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
LaMP
ECML 2019: Graph Neural Networks for Multi-Label Classification
GCN-Text-Classification
Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques
SCAN
[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
BiLevel-Graph-Neural-Network
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
CoVA-Web-Object-Detection
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
GraphCON
GraphCON (ICML 2022)