gat

There are 1 repository under gat topic.

pytorch-GAT
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!
gat graph-attention-networks attention-mechanism self-attention pytorch python attention pytorch-gat gat-tutorial deep-learning graph-attention-network pytorch-implementation jupyter
Language:Jupyter Notebook 2288
shenweichen / GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
gcn graphsage gnn gat graph-attention
Language:Python 759
GraphSAINT / GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
gcn graph-sampling iclr graphsage jk-net gat ipdps
Language:Python 454
tech-srl / how_attentive_are_gats
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
are attention attentive gat gatv2 graph graph-attention-networks graph-neural-networks how networks pytorch
Language:Python 277
gmftbyGMFTBY / MultiTurnDialogZoo
Multi-turn dialogue baselines written in PyTorch
hred wseq seq2seq recosa gcn gat hran hred-attn transformer dshred vhred kgcvae word-level-attention utterance-level-attention attention multi-head self-attention dailydialog baselines chatbot
Language:Python 162
shuowang-ai / GeniePath-pytorch
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
graph-network graph-neural-network gnn convolutional-networks gcn gat pyg
Language:Python 103
alexmonti19 / dagnet
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
trajectory-prediction human-trajectory pedestrians basketball sports vae vrnn gnn gat gcn graph pytorch dagnet trajectory-forecasting graph-neural-networks graph-attention-networks
Language:Python 84
xueqing / GB-Doc
中华人民共和国国家标准文档
gat gb gbt gm rfc spvmn ydt
83
Firyuza / GraphSAGE
Graph Neural Networks
graphsage gat tensorflow
Language:Python 67
quqixun / GNN-Pytorch
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
gnn gcn gat graphsage fastgcn pytorch gnn-pytorch graph sagpool mincutpool grand
Language:Python 67
Borf / BrowEdit3
Browedit is an editor for rsw, gnd and gat files
editor gat gnd grf mmorpg rsw
Language:C++ 51
tk-rusch / gradientgating
Gradient gating (ICLR 2023)
gat gcn graph-neural-networks graphsage heterophily message-passing oversmoothing pytorch-geometric iclr iclr2023 pytorch
Language:Python 48
ShinKyuY / Graph_Neural_Net
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
graph gcn gat ggnn graph-neural-network ppi transductive-learning inductive-learning graph-attention mixhop
Language:Jupyter Notebook 28
l294265421 / SCAN
[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
absa acsa aspect-based-sentiment-analysis aspect-category-sentiment-analysis gat gnn graph-attention-networks graph-neural-networks sentence-constituent syntax
Language:Python 26
HuichuanLI / GraphNeuralNetWork
玩转图神经网络和知识图谱的相关算法：GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe
graph-embedding deepwalk node2vec gat graphsage gcn line transe snde metapathvec w2v
Language:Jupyter Notebook 23
machine-learning-with-graphs
njmarko / machine-learning-with-graphs
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
gnn gcn graphsage gat pytorch graph-neural-networks message-passing
Language:Jupyter Notebook 21
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
gat gnn graph-attention-networks graph-neural-networks graph-representation-learning pytorch pytorch-implementation
Language:Python 14
graph-transformer-psiml
njmarko / graph-transformer-psiml
Transformer implemented with graph attention network (GAT) layers from PyTorch Geometric
attention gat gnn graph-neural-networks pytorch-geometric transformer vision-transformer vit
Language:Jupyter Notebook 13
L1nkZ / raglib
A C++ library for parsing Ragnarok Online resource files safely.
ragnarok parser library cpp cross-platform gnd rsw rsm spr gat act
Language:C++ 12
arxyzan / fraud-detection-gnn
Fraud Detection using various GNN models
elliptic fraud-detection gat gcn gin gnn graph-neural-networks graphsage pytorch
Language:Python 9
gmftbyGMFTBY / WhenToSpeak
The codes of our paper When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
hred seq2seq timing multi-turn open-domain dialogue generative gnn gcn gat
Language:Jupyter Notebook 9
XufengXufengXufeng / try_gcn
try different opts on word context graph with GCN and GAT to obtain word embeddings.
gat gcn graph-algorithms nlp word-embeddings
Language:Jupyter Notebook 9
dobraczka / GNNTutorial
A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks
gat gcn graph-convolutional-networks graph-neural-networks rgcn
Language:Jupyter Notebook 8
jayeew / GNNs-Baseline
A Pytorch based implementation of classical GNNs.
gnns gnn pytorch torchgeometric gat gcn appnp h2gcn fagcn
Language:Python 8
YeonwooSung / PyTorch_GNN_Implementation
PyTorch implementation of GNN models
gat gcn gnn gnn-model graph-attention-networks pytorch-implementation graph-neural-networks graphsage
Language:Jupyter Notebook 8
favour-nerrise / xGW-GAT
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
ai4health brain-imaging brain-networks classification connectome gat graph-attention-networks graph-neural-networks parkinsons-disease pytorch pytorch-geometric rsfmri symmetric-positive-definite gait-impairment
Language:Python 6
taishan1994 / pytorch_gat
Pytorch implementation of graph attention network
gat tensorflow pytorch graph-attention-network deeplearn
Language:Python 6
danielhenrymantilla / higher-kinded-types.rs
"Generic generics" / higher-kinded APIs in stable Rust.
gat hkt rust type-level-programming higher-kinded-type lending-iterator
Language:Rust 5
khanmhmdi / GAT-Graph-attention-neural-network-
This repository contain the unofficial implementation of the graph attention neural network.
attention-is-all-you-need attention-mechanism deep-learning gat graph graph-attention-network graph-neural-network graph-neural-networks neural-network neural-networks
5
TransformersWsz / BERT-GAT-CRF-NER
Leveraging BERT GAT CRF to NER
bert gat crf ner
Language:Python 5
Aveek-Saha / Graph-Attention-Net
A TensorFlow 2 implementation of Graph Attention Networks (GAT)
gat graph-attention-networks graph-neural-networks graphs tensorflow tensorflow2
Language:Python 4
Frank-qlu / GNN
Principles of various GNN algorithms and implementation of various GNN algorithms using DGL[ GNN各种算法原理以及实现(DGL)，初学者必备]
dgl gat gcn graphsage
Language:Python 4
li-boxuan / Parallel-GAT
Parallel implementations of Graph Attention Network, including CUDA, OpenMP, and TinkerPop Vertex Program.
gat graph graph-attention-networks parallel-computing tinkerpop
Language:Jupyter Notebook 4
basiralab / Reproducible-Generative-Learning
Reproducible generative learning
gnn graph-neural-networks reproducibility reproducible-research diffpool gunet gat gcn sagpool graph-convolutional-networks
Language:Python 3
zamirmehdi / GNN-Node-Regression
Comparative Analysis of Graph Neural Networks for Node Regression on Wiki-Squirrel dataset (bachelor's Research Project)
gat gatv2 gcn graph-neural-networks graphsage article-networks node-regression
Language:Python 3
JockWang / Graph4CTR
Graph4CTR(GCNs, GATs, HGCNs)
graph-algorithms gcn gat gnn graphneuralnetwork graphconvoltution ctr hgcn
Language:Python 2

gat

gordicaleksa / pytorch-GAT

shenweichen / GraphNeuralNetwork

GraphSAINT / GraphSAINT

tech-srl / how_attentive_are_gats

gmftbyGMFTBY / MultiTurnDialogZoo

shuowang-ai / GeniePath-pytorch

alexmonti19 / dagnet

xueqing / GB-Doc

Firyuza / GraphSAGE

quqixun / GNN-Pytorch

Borf / BrowEdit3

tk-rusch / gradientgating

ShinKyuY / Graph_Neural_Net

l294265421 / SCAN

HuichuanLI / GraphNeuralNetWork

njmarko / machine-learning-with-graphs

ebrahimpichka / GAT-pt

njmarko / graph-transformer-psiml

L1nkZ / raglib

arxyzan / fraud-detection-gnn

gmftbyGMFTBY / WhenToSpeak

XufengXufengXufeng / try_gcn

dobraczka / GNNTutorial

jayeew / GNNs-Baseline

YeonwooSung / PyTorch_GNN_Implementation

favour-nerrise / xGW-GAT

taishan1994 / pytorch_gat

danielhenrymantilla / higher-kinded-types.rs

khanmhmdi / GAT-Graph-attention-neural-network-

TransformersWsz / BERT-GAT-CRF-NER

Aveek-Saha / Graph-Attention-Net

Frank-qlu / GNN

li-boxuan / Parallel-GAT

basiralab / Reproducible-Generative-Learning

zamirmehdi / GNN-Node-Regression

JockWang / Graph4CTR