🎓 Обучающая программная система по теории планарных графов.

Mutual Information-based Non-linear Clustering Analysis

The integration of HugeGraph with artificial intelligence

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Python framework for graph analytics and co-occurrence analysis

This project presents a system, namely, the abnormal-weather monitoring and curation service (AWMC), which provides people with a better understanding of abnormal weather conditions. The service can analyze a set of multivariate weather datasets (i.e., 7 meteorological datasets from 18 cities in Korea) .

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

A knowledge graph system with graph neural network for drug repurposing and disease mechanism.

玩转图神经网络和知识图谱的相关算法：GCN,GAT,GAFM,GAAFM,GraphSage,W2V,TRANSe

SIMBA: SIngle-cell eMBedding Along with features

graph embedding, density friendly decomposition

Repository for the paper "RDFsim: Similarity-Based Browsing over DBpedia using Embeddings", Manos Chatzakis, Michalis Mountantonakis and Yannis Tzitzikas. 2021, Information MDPI Switzerland.

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]

Python source code and data for ELTRA, a double-vector embedding method to preserve asymmetric information in directed graphs

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Highly Comparative Graph Analysis - Code for network phenotyping

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Graph-based Time Series Clustering Visualisation Tools