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scDFN: Enhancing Single-cell RNA-seq Clustering with Deep Fusion Networks
[Pattern Recognition] An official code for paper "Graph Clustering Network with Structure Embedding Enhanced".
Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection", ICASSP 2024.
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
The code for the paper "Dual Mutual Information Constraints for Discriminative Clustering"
[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".
A Collection of Variational Autoencoders (VAE) in PyTorch.
This project is a scalable unified framework for deep graph clustering.
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Methods and Implements of Deep Clustering
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
Must-read papers on graph neural networks (GNN)
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
100-Days-Of-ML-Code中文版
Deep Learning Book Chinese Translation
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀