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"

No description provided.

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

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

No description provided.

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

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

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

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

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

A demonstration codebase for the routing anomaly detection system featured in the USENIX Security 2024 paper, Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System.

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

Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".

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

This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).

Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method

A deep representation on heterogeneous drug network, termed DeepR2cov, to discover potential agents for treating the excessive inflammatory response in COVID-19 patients.

BioERP: a biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.

DAOR Parameter-free Embedding Framework for Large Graphs (Networks)

This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).

Network representation learning technique using structure and attributes of information networks.

NetHash algorithm from IJCAI 2018