Graph and Nodes embeddings for downstream tasks
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Updated
Jul 14, 2022 - Python
Graph and Nodes embeddings for downstream tasks
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Smart contract vulnerability detection using graph neural network (DR-GCN).
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A collection of important graph embedding, classification and representation learning papers with implementations.
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