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awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

bespoke-sscd

A Re-implementation of BeSpoke (Bakshi et al. ICDM'18) for semi-supervised community detection.

cogdl

CogDL: An Extensive Research Toolkit for Graphs

come

Implementation of ComE algorithm

community-detection-papers

ctdne

Reproducing the results of the paper Continuous-time Dynamic Network Embeddings

d2l-en

An interactive deep learning book with code, math, and discussions.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepclustering

Methods and Implements of Deep Clustering

deepinf

DeepInf: Social Influence Prediction with Deep Learning

diffusionpapers

Paper List of Information Diffusion Prediction

dive-into-dl-pytorch

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。

dynamictriad

Dynamic Network Embedding by Modeling Triadic Closure Process

gnnpapers

Must-read papers on graph neural networks (GNN)

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

icde2020temporalnetworkembedding

iminfector

k-anonymity

Anonymization methods for network security.

lemon

LEMON: A local algorithm for fast, high-precision overlapping community detection

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

lpanni

implement for LPANNI: Overlapping Community Detection Using Label Propagation in Large-Scale Complex Networks

ma-gcnns

mutual-cover

overlapping-community-detection-using-seed-set-expansion-

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info