There are 8 repositories under node-embedding topic.
A collection of important graph embedding, classification and representation learning papers with implementations.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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.
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
TigerLily: Finding drug interactions in silico with the Graph.
Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
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".
New Algorithms for Learning on Hypergraphs
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
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".
Simple reference implementation of GraphSAGE.
The SINr approach to train interpretable word and graph embeddings
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]
Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .