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

Last update: Nov 13, 2022

Related tags

Deep Learning SHGNN

Overview

SHGNN: Structure-Aware Heterogeneous Graph Neural Network

The source code and dataset of the paper: SHGNN: Structure-Aware Heterogeneous Graph Neural Network.

Requirements

The framework is implemented using python3 with dependencies specified in requirements.txt.

git clone https://github.com/Wentao-Xu/SHGNN.git
cd SHGNN
conda create -n shgnn python=3.8
conda activate shgnn
pip install -r requirements.txt

Dataset preparation

source prepare_data.sh
tar -zxvf data.tar.gz
mkdir checkpoint

Running the code

# IMDB dataset
python run_IMDB.py

# DBLP dataset
python run_DBLP.py

# ACM dataset
python run_ACM.py

Owner

Wentao Xu

Ph.D. Student in a Joint Program between Microsoft Research Asia and Sun Yat-sen University.

GitHub Repository

Json2Xml tool will help you convert from json COCO format to VOC xml format in Object Detection Problem.

JSON 2 XML All codes assume running from root directory. Please update the sys path at the beginning of the codes before running. Over View Json2Xml t

6 Aug 22, 2022

Pytorch implementation of the paper Improving Text-to-Image Synthesis Using Contrastive Learning

T2I_CL This is the official Pytorch implementation of the paper Improving Text-to-Image Synthesis Using Contrastive Learning Requirements Linux Python

42 Dec 31, 2022

Playable Video Generation

Playable Video Generation Playable Video Generation Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov, Aliaksandr Siarohin, Elisa Ricci Paper: ArX

136 Dec 31, 2022

CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation

CDGAN CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation CDGAN Implementation in PyTorch This is the imple

6 Apr 19, 2022

Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction

Unsupervised Feature Loss (UFLoss) for High Fidelity Deep learning (DL)-based reconstruction Official github repository for the paper High Fidelity De

28 Dec 16, 2022

Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization (CVPR 2021) This is the official implementation of PW

42 Dec 18, 2022

Blind Video Temporal Consistency via Deep Video Prior

deep-video-prior (DVP) Code for NeurIPS 2020 paper: Blind Video Temporal Consistency via Deep Video Prior PyTorch implementation | paper | project web

272 Dec 21, 2022

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

The Hypersim Dataset For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real i

1.3k Jan 04, 2023

A simple consistency training framework for semi-supervised image semantic segmentation

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation PseudoSeg is a simple consistency training framework for semi-supervised image semantic s

143 Dec 13, 2022

SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations

Project 1: Standardized Test Analysis by Adam Klesc Overview This project covers: Basic statistics and probability Many Python programming concepts Pr

1 Jan 03, 2022

Deep learning with dynamic computation graphs in TensorFlow

TensorFlow Fold TensorFlow Fold is a library for creating TensorFlow models that consume structured data, where the structure of the computation graph

1.8k Dec 28, 2022

A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.

3 Dec 29, 2022

PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

25 Sep 06, 2022