There are 50 repositories under graph-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).
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
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.
Recommender Systems Paperlist that I am interested in
Representation-Learning-on-Heterogeneous-Graph
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Representation learning on dynamic graphs using self-attention networks
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
A reading paper list which is mainted daily
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 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)
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.