graph-embedding topic

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

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A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

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A collection of important graph embedding, classification and representation learning papers with implementations.

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A repository of pretty cool datasets that I collected for network science and machine learning research.

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Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

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An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

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The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

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The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

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A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

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