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[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Data Augmentation on Graphs: A Technical Survey

Graph CNNs for population graphs

A preliminary implementation of BrainGNN

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

Methods and Implements of Deep Clustering

links to conference publications in graph-based deep learning

Recovers passwords from pixelized screenshots

A curated list for awesome graph representation learning resources.

Time series classification and clustering code written in Python.

A comprehensive collection of recent papers on graph deep learning

使用 tensorflow2.0 实现图卷积神经网络GCN

Clustering / Subspace Clustering Algorithms on MATLAB

Must-read papers on graph neural networks (GNN)

Implementation of Graph Convolutional Networks in TensorFlow

Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Engineering中文翻译

Deep Graph-Convolutional Image Denoising

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Deep learning course CE7454, 2018

Models and examples built with TensorFlow

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Implementation of LDMnet in pytorch

Edge-Conditioned Convolutions on Graphs

Graph Convolutional Networks (GCNs)

PyTorch implementation of spectral graph ConvNets, NIPS’16

source code for efficient Convex Clustering and Robust Convex Clustering.