#Node2vec
Showing 16 of 16 repositories tagged #node2vec, ranked by stars
A distributed graph deep learning framework.
A curated list of community detection research papers with implementations.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
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".