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The Wayback Machine - https://web.archive.org/web/20200619124758/https://github.com/topics/graph-embedding
Here are
106 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Jun 15, 2020
Python
A distributed graph deep learning framework.
A general purpose community detection and network embedding library for research built on NetworkX.
Updated
Jun 10, 2020
Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Updated
May 31, 2020
Python
A graph sampling extension library for NetworkX.
Updated
Jun 10, 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 "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
May 31, 2020
Python
A reading paper list which is mainted daily
Representation-Learning-on-Heterogeneous-Graph
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
May 31, 2020
Python
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Updated
May 31, 2020
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
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 PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
May 31, 2020
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Updated
May 31, 2020
Python
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
Updated
Feb 4, 2018
Python
A state of the art knowledge base
Updated
Jun 1, 2020
Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Updated
Apr 14, 2020
Python
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Updated
Jun 1, 2020
Python
Recommender Systems Paperlist that I am interested in
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
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Updated
May 31, 2020
Python
CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
Updated
Jan 17, 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
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I'm looking to create embeddings for the STRING protein-protein interaction database. In this notebook, I convert this network to
scipy.sparse.csr_matrixandnumpy.arrayformats. The network is big with 19,566 nodes and 11,759,454 (divide that in two for bidi