Self-supervised learning on Graph Representation Learning (node-level task)

Last update: Dec 31, 2021

Related tags

Deep Learning graph_SSL

Overview

graph_SSL

Self-supervised learning on Graph Representation Learning (node-level task)

How to run the code

To run GRACE, sh run_GRACE.sh
To run GCA, sh run_GCA.sh
To run BGRL, sh run_BGRL.sh

Experimental Results

You can check detailed experimental results in results folder.

name	WikiCS	Amazon Computers	Amazon Photo	Coauthor CS	Coauthor Physics
`GRACE`	78.41	86.44	90.02	92.63	OOM
`GCA`	78.42	88.06	89.85	92.77	OOM
`BGRL`	79.50	88.338	92.83	92.49	94.89

Implemented

Implemented paper list

name	Paper
`GRACE`	paper
`GCA`	paper
`BGRL`	paper

Codes borrowed from

name	Implementation Code	Paper
`GRACE`	Implementation	paper
`GCA`	Implementation	paper
`Bootstrap Your Own Latent`	Implementation	paper
`SelfGNN`	Implementation	paper

Owner

Namkyeong Lee

GitHub Repository

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Master status: Development status: Package information: TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assista

8.9k Dec 30, 2022

Off-policy continuous control in PyTorch, with RDPG, RTD3 & RSAC

arXiv technical report soon available. we are updating the readme to be as comprehensive as possible Please ask any questions in Issues, thanks. Intro

31 Dec 30, 2022

Video-Music Transformer

VMT Video-Music Transformer (VMT) is an attention-based multi-modal model, which generates piano music for a given video. Paper https://arxiv.org/abs/

5 Jul 13, 2022

Exemplo de implementação do padrão circuit breaker em python

fast-circuit-breaker Circuit breakers existem para permitir que uma parte do seu sistema falhe sem destruir todo seu ecossistema de serviços. Michael

17 Nov 10, 2022

Spatial Single-Cell Analysis Toolkit

Single-Cell Image Analysis Package Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spa

30 Nov 08, 2022

PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.

Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations This is the official PyTorch implementation

42 Nov 09, 2022

MakeItTalk: Speaker-Aware Talking-Head Animation

MakeItTalk: Speaker-Aware Talking-Head Animation This is the code repository implementing the paper: MakeItTalk: Speaker-Aware Talking-Head Animation

285 Jan 08, 2023

Pytorch Implementation of rpautrat/SuperPoint

SuperPoint-Pytorch (A Pure Pytorch Implementation) SuperPoint: Self-Supervised Interest Point Detection and Description Thanks This work is based on:

76 Dec 27, 2022

🕵 Artificial Intelligence for social control of public administration

Non-tech crash course into Operação Serenata de Amor Tech crash course into Operação Serenata de Amor Contributing with code and tech skills Supportin

4.4k Dec 31, 2022

CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"

[CVPR2022] DSL: Dense Learning based Semi-Supervised Object Detection DSL is the first work on Anchor-Free detector for Semi-Supervised Object Detecti

69 Dec 08, 2022

You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

42 Dec 06, 2022

Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

Token Labeling: Training an 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet (arxiv) This is a Pytorch implementation of our te

383 Dec 27, 2022

Code for our work "Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection".

A2S-USOD Code for our work "Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection". Code will be released upon

15 Dec 16, 2022

Aircraft design optimization made fast through modern automatic differentiation

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

394 Dec 23, 2022

This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)

A Workbook for the Qiskit Developer Certification Exam Hello everyone! This is Bartu, a fellow Qiskitter. I have recently taken the Certification exam

66 Dec 10, 2022

eXPeditious Data Transfer

xpdt: eXPeditious Data Transfer About xpdt is (yet another) language for defining data-types and generating code for serializing and deserializing the

3 Jan 06, 2022

Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)

Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio

30 Nov 23, 2022

An algorithmic trading bot that learns and adapts to new data and evolving markets using Financial Python Programming and Machine Learning.

ALgorithmic_Trading_with_ML An algorithmic trading bot that learns and adapts to new data and evolving markets using Financial Python Programming and

1 Mar 14, 2022

Detectron2-FC a fast construction platform of neural network algorithm based on detectron2

What is Detectron2-FC Detectron2-FC a fast construction platform of neural network algorithm based on detectron2. We have been working hard in two dir

9 Jun 06, 2022

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

Accelerating Reinforcement Learning with Learned Skill Priors [Project Website] [Paper] Karl Pertsch1, Youngwoon Lee1, Joseph Lim1 1CLVR Lab, Universi

134 Dec 06, 2022