Contrastive Multi-View Representation Learning on Graphs

Last update: Dec 23, 2022

Related tags

Overview

Contrastive Multi-View Representation Learning on Graphs

This work introduces a self-supervised approach based on contrastive multi-view learning to learn node and graph level representations.

It has been accepted at ICML 2020:

https://arxiv.org/abs/2006.05582

Reference

@incollection{icml2020_1971,
 author = {Hassani, Kaveh and Khasahmadi, Amir Hosein},
 booktitle = {Proceedings of International Conference on Machine Learning},
 pages = {3451--3461},
 title = {Contrastive Multi-View Representation Learning on Graphs},
 year = {2020}
}

Owner

Kaveh

Principal AI Research Scientist

GitHub Repository

This repository is the code of the paper Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies

ES_OTN_Public Carlos Güemes Palau, Paul Almasan, Pere Barlet Ros, Albert Cabellos Aparicio Contact us: Barcelona Neural Networking Center 8 Oct 11, 2022

Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

UncertaintyAwareCycleConsistency This repository provides the building blocks and the API for the work presented in the NeurIPS'21 paper Robustness vi

19 Dec 12, 2022

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

R2Plus1D-PyTorch PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal

342 Dec 16, 2022

KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021

74 Dec 28, 2022

Training DiffWave using variational method from Variational Diffusion Models.

Variational DiffWave Training DiffWave using variational method from Variational Diffusion Models. Quick Start python train_distributed.py discrete_10

26 Dec 13, 2022

DI-HPC is an acceleration operator component for general algorithm modules in reinforcement learning algorithms

DI-HPC: Decision Intelligence - High Performance Computation DI-HPC is an acceleration operator component for general algorithm modules in reinforceme

185 Dec 29, 2022

This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".

AS-MLP architecture for Image Classification Model Zoo Image Classification on ImageNet-1K Network Resolution Top-1 (%) Params FLOPs Throughput (image

106 Dec 12, 2022

pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.

Bayesian inference in HSMMs and HMMs This is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and expli

527 Dec 04, 2022

A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

Business Problem A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maxim

1 Jan 15, 2022

Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia

Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia

1 Jan 21, 2022

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

Vision Transformer for Fast and Efficient Scene Text Recognition (ICDAR 2021) ViTSTR is a simple single-stage model that uses a pre-trained Vision Tra

198 Dec 27, 2022

A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.

mocap4face by Facemoji mocap4face by Facemoji is a free, multiplatform SDK for real-time facial motion capture based on Facial Action Coding System or

591 Dec 27, 2022

Contrastive Multi-View Representation Learning on Graphs

Related tags

Overview

Contrastive Multi-View Representation Learning on Graphs

Reference

Owner

Kaveh

This repository is the code of the paper Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies

Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021

Training DiffWave using variational method from Variational Diffusion Models.

DI-HPC is an acceleration operator component for general algorithm modules in reinforcement learning algorithms

This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".

pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.

A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia

PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.

Training vision models with full-batch gradient descent and regularization

Training neural models with structured signals.

The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".

D2Go is a toolkit for efficient deep learning

Picasso: A CUDA-based Library for Deep Learning over 3D Meshes

Code for the Active Speakers in Context Paper (CVPR2020)

PAthological QUpath Obsession - QuPath and Python conversations

Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection