There are 49 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).
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)
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A repository of pretty cool datasets that I collected for network science and machine learning research.
Recommender Systems Paperlist that I am interested in
Deep and conventional community detection related papers, implementations, datasets, and tools.
Representation-Learning-on-Heterogeneous-Graph
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Representation learning on dynamic graphs using self-attention networks
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 "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
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)
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.