Implementation of Heterogeneous Graph Attention Network

Last update: Dec 28, 2021

Related tags

Overview

HetGAN

Implementation of Heterogeneous Graph Attention Network

This is the code repository of paper "Prediction of Metro Ridership During the COVID-19 Pandemic: A Deep Learning Approach Based on Heterogeneous Graph" which is submitted to Transportation Rsearch Part C: Emgerging Technologies.

Datasets

New York City COVID case number
New York City Metro Ridership Number

Model Framework

How to Run?

Single run:

cd Experiments/
python main.py --epoch 200 --seed 1230 --log_file='./logs/running_log.log'

Grid Search:

cd Experiments/
python grid_search.py --epoch 200 --seed 1230 --log_file='./logs/grid_search.log'

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

Under construction... Attention in Attention Network for Image Super-Resolution (A2N) This repository is an PyTorch implementation of the paper "Atten

71 Dec 30, 2022

Pytorch implementation of VAEs for heterogeneous likelihoods.

Heterogeneous VAEs Beware: This repository is under construction 🛠️ Pytorch implementation of different VAE models to model heterogeneous data. Here,

35 Nov 29, 2022

PyTorch implementation of our ICCV 2021 paper, Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.

4 May 8, 2022

Graph neural network message passing reframed as a Transformer with local attention

Adjacent Attention Network An implementation of a simple transformer that is equivalent to graph neural network where the message passing is done with

49 Dec 28, 2022

Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

GSAN Introduction Code for paper GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving, wh

6 Oct 27, 2022

The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.

SAG-DTA The code is the implementation for the paper 'SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network'. Requirements py

7 Aug 2, 2022

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Transformer in Transformer Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image c

272 Dec 23, 2022

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

HaloNet - Pytorch Implementation of the Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones. This re

189 Nov 22, 2022

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

STAM - Pytorch Implementation of STAM (Space Time Attention Model), yet another pure and simple SOTA attention model that bests all previous models in

109 Dec 28, 2022

Owner

GitHub

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

E(n)-Equivariant Transformer (wip) Implementation of E(n)-Equivariant Transformer, which extends the ideas from Welling's E(n)-Equivariant G

132 Jan 2, 2023

Implementation of Heterogeneous Graph Attention Network

Related tags

Overview

HetGAN

Datasets

Model Framework

How to Run?

You might also like...

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

Pytorch implementation of VAEs for heterogeneous likelihoods.

PyTorch implementation of our ICCV 2021 paper, Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.

Graph neural network message passing reframed as a Transformer with local attention

Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Owner

The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

Scalable Graph Neural Networks for Heterogeneous Graphs

Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

A heterogeneous entity-augmented academic language model based on Open Academic Graph (OAG)

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling

Code for our EMNLP 2021 paper “Heterogeneous Graph Neural Networks for Keyphrase Generation”

HNECV: Heterogeneous Network Embedding via Cloud model and Variational inference

CKD - Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention