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The Wayback Machine - https://web.archive.org/web/20200928183927/https://github.com/topics/graph-embedding
Here are
110 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 4, 2020
Python
A distributed graph deep learning framework.
Updated
Aug 4, 2020
Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Updated
Sep 28, 2020
Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Updated
Sep 24, 2020
Python
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Updated
Sep 8, 2020
Python
CogDL: An Extensive Research Toolkit for Graphs
Updated
Sep 28, 2020
Python
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Updated
Sep 17, 2020
Jupyter Notebook
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
Sep 24, 2020
Python
Representation-Learning-on-Heterogeneous-Graph
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Updated
Sep 24, 2020
Python
A reading paper list which is mainted daily
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Updated
May 31, 2020
Python
Recommender Systems Paperlist that I am interested in
A Temporal Extension Library for PyTorch Geometric
Updated
Aug 27, 2020
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
Sep 24, 2020
Python
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Updated
Sep 24, 2020
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Sep 24, 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
Sep 24, 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
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
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Updated
Sep 24, 2020
Python
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Updated
Sep 24, 2020
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
Sep 24, 2020
Python
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Updated
Sep 24, 2020
Python
CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
Updated
Jan 17, 2020
Python
Representation learning on dynamic graphs using self-attention networks
Updated
Sep 25, 2020
Python
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Updated
Sep 24, 2020
Python
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