#Network-embedding
Showing 20 of 20 repositories tagged #network-embedding, ranked by stars
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A distributed graph deep learning framework.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
A repository of pretty cool datasets that I collected for network science and machine learning research.
Deep and conventional community detection related papers, implementations, datasets, and tools.
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
Keras implementation of Structural Deep Network Embedding, KDD 2016
ICE: Item Concept Embedding
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Profiling and Deanonymizing Ethereum Users
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.