This project contain implementation the system, proposed in the "Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks" (O. Durandin, A. Malafeev), and presented in the AIST-2019 Conference

Graph and Nodes embeddings for downstream tasks

Visual Analysis of Temporal Summaries in Dynamic Graphs (IEEE TVCG)

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)

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

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

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.