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Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
Dynamic graph/network dataset for dynamic graph/network embedding/representation
An implementation of paper: Dynamic Network Embedding: An Extended Approach for Skip-gram based Network Embedding
dynamic graph/network embedding/representation methods
In recent years, community detection has received increased attention thanks to its wide range of applications in many fields. While at first most techniques were focused on discovering communities…
Source Code for Paper "Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection" (arxiv: https://arxiv.org/abs/2109.15136)
Co-regularized Evolutionary Nonnegative Matrix Factorization for evolving community detection in dynamic networks
The source code of a community detection method in dynamic networks for paper "IncNSA: Detecting communities incrementally from time-evolving networks based on node similarity".
Deep and conventional community detection related papers, implementations, datasets, and tools.
Implementation in TF2 of the Variational Graph Auto-Encoders
Implementation of Graph Auto-Encoders in TensorFlow
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
Awesome Incremental Learning
Code for Dyperm Paper: "DyPerm:MaximizingPerm 75CF anencefor Dynamic Community Detection." 22nd Pacific- Asia Conference on Knowledge Discovery and Data Mining. Springer, Cham, 2018.
StellarGraph - Machine Learning on Graphs
eric-hang / ctdne
Forked from Shubhranshu-Shekhar/ctdneReproducing the results of the paper Continuous-time Dynamic Network Embeddings
this repo content all my pi4 video on bilibili. happy sharing my knowledge.
Implementation and experiments of graph embedding algorithms.
Code for the Make Your Own Neural Network book