A collection of important graph embedding, classification and representation learning papers with implementations.
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Updated
Aug 4, 2020 - Python
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A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of community detection research papers with implementations.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A general purpose community detection and network embedding library for research built on NetworkX.
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
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)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
A repository of pretty cool datasets that I collected for network science and machine learning research.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
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