Deep and conventional community detection related papers, implementations, datasets, and tools.

Representation-Learning-on-Heterogeneous-Graph

Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

network-representation-learning: DeepWalk, LINE, Node2Vec, GraRep

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

2019 Biendata竞赛平台“OAG–WhoIsWho 同名消歧竞赛 赛道一”消歧比赛，第一名解决方案

This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

Final project for Social Network Mining(DATA130007) in Fudan university

This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

Parallelized Binary embedding GENerator for Attributed graphs

Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".

Network representation learning on drug-target-side effects-indication graphs for side effect prediction