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The Wayback Machine - https://web.archive.org/web/20200914002100/https://github.com/topics/node-embedding
Here are
35 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 4, 2020
Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Updated
Sep 13, 2020
Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Updated
May 31, 2020
Python
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Updated
Sep 8, 2020
Python
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Updated
May 23, 2020
Jupyter Notebook
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
May 31, 2020
Python
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Updated
Apr 1, 2020
Python
A Temporal Extension Library for PyTorch Geometric
Updated
Aug 27, 2020
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Updated
May 31, 2020
Python
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Updated
Jun 1, 2020
Python
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Updated
May 31, 2020
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
May 31, 2020
Python
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Updated
May 31, 2020
Python
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Updated
May 31, 2020
Python
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Updated
May 31, 2020
Python
The reference implementation of "Multi-scale Attributed Node Embedding".
Updated
May 31, 2020
Python
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Updated
May 6, 2020
Python
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Updated
May 31, 2020
Python
Variational Graph Recurrent Neural Networks - PyTorch
Updated
Jul 8, 2020
Python
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Updated
May 31, 2020
Python
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Updated
Jun 1, 2020
Python
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Updated
May 31, 2020
Python
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Updated
Aug 23, 2020
Python
A list of data mining and machine learning papers that I implemented in 2019.
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Updated
May 31, 2020
Python
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Updated
Aug 24, 2020
Python
New Algorithms for Learning on Hypergraphs
Updated
Dec 27, 2019
Jupyter Notebook
Simple reference implementation of GraphSAGE.
Updated
Mar 23, 2018
Python
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .
Updated
May 31, 2020
Python
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