benedekrozemberczki / awesome-community-detectionLinks
A curated list of community detection research papers with implementations.
☆2,381Updated last year
Alternatives and similar repositories for awesome-community-detection
Users that are interested in awesome-community-detection are comparing it to the libraries listed below
Sorting:
- A curated list of network embedding techniques.☆2,610Updated 4 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,790Updated 2 years ago
- ☆1,287Updated last year
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,233Updated 11 months ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,522Updated 4 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,252Updated last year
- A comprehensive collection of recent papers on graph deep learning☆3,081Updated 4 years ago
- An Open-Source Package for Network Embedding (NE)☆1,699Updated last year
- StellarGraph - Machine Learning on Graphs☆3,017Updated last year
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆925Updated 2 years ago
- Generate embeddings from large-scale graph-structured data.☆3,412Updated last year
- ☆2,677Updated 2 years ago
- Library of graph clustering algorithms☆753Updated last year
- Louvain Community Detection☆1,006Updated last year
- Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (…☆210Updated 3 years ago
- DeepWalk - Deep Learning for Graphs☆2,732Updated 2 years ago
- Implementation of the node2vec algorithm.☆1,273Updated 10 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,537Updated 10 months ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆532Updated last year
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,308Updated last year
- A scikit-learn compatible library for graph kernels☆622Updated 8 months ago
- A curated list of gradient boosting research papers with implementations.☆1,021Updated last year
- Build Graph Nets in Tensorflow☆5,386Updated 2 years ago
- Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.☆2,228Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,010Updated last month
- Implementation of Graph Auto-Encoders in TensorFlow☆1,693Updated 5 years ago
- LINE: Large-scale information network embedding☆1,050Updated 11 months ago
- A Deep Graph-based Toolbox for Fraud Detection☆733Updated 3 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆636Updated last year
- Graph Neural Networks with Keras and Tensorflow 2.☆2,377Updated last year