graph-attention-networks
There are 115 repositories under graph-attention-networks topic.
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
PetarV-/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
gordicaleksa/pytorch-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!
benedekrozemberczki/CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
xiangwang1223/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Jiakui/awesome-gcn
resources for graph convolutional networks （图卷积神经网络相关资源）
danielegrattarola/keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
benedekrozemberczki/MixHop-and-N-GCN
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
mlabonne/graph-neural-network-course
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
ML4ITS/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).
tech-srl/how_attentive_are_gats
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
xptree/DeepInf
DeepInf: Social Influence Prediction with Deep Learning
Marigoldwu/A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
LMissher/STWave
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
kevalmorabia97/CoVA-Web-Object-Detection
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
alexmonti19/dagnet
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
QData/LaMP
ECML 2019: Graph Neural Networks for Multi-Label Classification
aptx1231/START
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
issacchan26/AntiMoneyLaunderingDetectionWithGNN
Anti Money Laundering Detection using Graph Attention Network
tk-rusch/GraphCON
GraphCON (ICML 2022)
ebrahimpichka/GAT-pt
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
zouguojian/Travel-time-prediction
When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
iamjagdeesh/Fake-News-Detection
Fake news detector based on the content and users associated with it using BERT and Graph Attention Networks (GAT).
zouguojian/Traffic-speed-prediction
Using to predict the highway traffic speed
endrikacupaj/LASAGNE
Source code for paper "Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks"
zekarias-tilahun/SelfGNN
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
codeKgu/BiLevel-Graph-Neural-Network
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
l294265421/SCAN
[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
monk1337/Graph-Neural-networks-for-NLP
Graph Neural networks for NLP
alessiabertugli/AC-VRNN
PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
berksudan/GCN-Text-Classification
Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques
timothewt/SP100AnalysisWithGNNs
S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)
maplefallfrost/GAT-Stroke
Graph attention network for stroke classification
zetayue/CPA
Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)