The Wayback Machine - https://web.archive.org/web/20210821044516/https://github.com/topics/node2vec
Here are
96 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 1, 2021
Python
A distributed graph deep learning framework.
Implementation and experiments of graph embedding algorithms.
Updated
Jul 11, 2021
Python
A curated list of community detection research papers with implementations.
Updated
Aug 1, 2021
Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Updated
Aug 17, 2021
Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Updated
Aug 1, 2021
Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Updated
Jul 31, 2021
Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
Aug 1, 2021
Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Updated
Jun 18, 2021
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Updated
Aug 1, 2021
Python
Representation learning for link prediction within social networks
Updated
Sep 4, 2018
Jupyter Notebook
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
Jun 24, 2021
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
Aug 1, 2021
Python
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Updated
Aug 1, 2021
Python
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Jul 27, 2021
Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Updated
Apr 14, 2020
Python
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Updated
Feb 17, 2020
Python
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Updated
Jul 27, 2021
Python
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Updated
Jan 27, 2020
Python
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Updated
Aug 1, 2021
Python
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Updated
Aug 1, 2021
Python
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Updated
Aug 1, 2021
Python
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Updated
Jul 27, 2021
Python
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Updated
Aug 1, 2021
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
Aug 1, 2021
Python
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
Updated
Aug 1, 2021
Python
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