A Portable Graphic Format for TeX

A set of latex templates and TikZ/pgfplots figures

dynnode2vec is a python package that implements algorithms to embed dynamic graphs

This project is a scalable unified framework for deep graph clustering.

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Graph Clustering with Embedding Propagation

Dynamic Network Analysis library

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

RDyn: graph benchmark handling community dynamics

Node Embeddings in Dynamic Graphs

A Library for Dynamic Graph Learning (NeurIPS 2023)

Spatiotemporal graph k-means

TILES: an algorithm for community discovery in dynamic social networks

Docker container exposing a preconfigured python environment for Social Network Analysis

ANGEL: Advanced Network Groups Estimate and Localization

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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

Representation learning on large graphs using stochastic graph convolutions.

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".

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

implemented dynamic node2vec for HiC maps

Community Discovery Library