The Wayback Machine - https://web.archive.org/web/20210820105754/https://github.com/topics/graph-embedding
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132 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Aug 1, 2021
Python
A distributed graph deep learning framework.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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Aug 17, 2021
Python
Updated
Aug 4, 2020
Python
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
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Aug 17, 2021
Python
CogDL: An Extensive Toolkit for Deep Learning on Graphs
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Aug 13, 2021
Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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Jul 31, 2021
Python
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
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May 30, 2021
Jupyter Notebook
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Updated
Aug 17, 2021
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
Aug 1, 2021
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
Recommender Systems Paperlist that I am interested in
Representation-Learning-on-Heterogeneous-Graph
Minimum-distortion embedding with PyTorch
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Jul 3, 2021
Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
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Aug 1, 2021
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
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Aug 1, 2021
Python
A reading paper list which is mainted daily
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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Aug 1, 2021
Python
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
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Aug 1, 2021
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
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Jul 27, 2021
Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
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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.
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Feb 4, 2018
Python
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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Aug 1, 2021
Python
A state of the art knowledge base
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Jun 1, 2020
Python
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
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Aug 1, 2021
Python
Representation learning on dynamic graphs using self-attention networks
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May 21, 2021
Python
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
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Aug 1, 2021
Python
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
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Aug 1, 2021
Python
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
Updated
Jun 8, 2021
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
Aug 1, 2021
Python
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