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

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

Related tags

Overview

graph_SSL

How to run the code

Experimental Results

Implemented

Codes borrowed from

Owner

Namkyeong Lee

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

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Learning Open-World Object Proposals without Learning to Classify

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

Official code for our EMNLP2021 Outstanding Paper MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks

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2D&3D human pose estimation

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

Related tags

Overview

graph_SSL

How to run the code

Experimental Results

Implemented

Codes borrowed from

Owner

Namkyeong Lee

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

An official implementation of MobileStyleGAN in PyTorch

Source code of the paper Meta-learning with an Adaptive Task Scheduler.

alfred-py: A deep learning utility library for **human**

Demo project for real time anomaly detection using kafka and python

Large-scale Hyperspectral Image Clustering Using Contrastive Learning, CIKM 21 Workshop

This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network.

Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS 2021 Spotlight).

Learning Open-World Object Proposals without Learning to Classify

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

Official code for our EMNLP2021 Outstanding Paper MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks

PyTorch Implementation of ECCV 2020 Spotlight TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

Official PyTorch implementation of PS-KD

Directed Greybox Fuzzing with AFL

[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"

Novel Instances Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection

Human motion synthesis using Unity3D

Contains code for the paper "Vision Transformers are Robust Learners".

Predict multi paths to a moving person depending on his trajectory history.

2D&3D human pose estimation

alfred-py: A deep learning utility library for human