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dhhnn

Dynamic Heterogeneous Hypergraph Neural Network

dpgmm.js

DPGMM.js is a JavaScript implementation of a Dirichlet process gaussian mixture model (DPGMM)

dpmm-clustering

Java implementation of Dirichlet Process Mixture Model.

evonetclus

A C# implementation of the EvoNetClus algorithm.

framework

Machine learning, computer vision, statistics and general scientific computing for .NET

graphclustering

GraphClustering is a C# GUI for data mining and clustering research. In particular, this implements the graph based resilience measure Vertex Attack Tolerance (VAT) and the adapted clustering algorithm Hierarchical VAT Clustering (hVATClust). The NetMining library provides many other common clustering algorithms (K-Means, SOM, Girvan-Newman, etc.), Several ADTs (Quadtree, Heap, DisjointSet), Dimensionality Reduction, Data Generation, and Internal(Dunn, Silhouette, Davies–Bouldin) and External Clustering evaluation.

hypernetx

Python package for hypergraph analysis and visualization.

learning-graph-neural-networks

This repository includes examples of GNN, and real world GNN solutions to graph data.

lpsolve

Java wrapper for lpsolve library

malikhayat.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mathnet-numerics

Math.NET Numerics

metadata

probabilityutils

A static class for calculating probabilities for normally distributed variables.

shglnetwork

Self-supervised Heterogeneous Hypergraph Neural Network for Graph-level Classification

shglnn

Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification

tdi

TDI - Challenge

thu-deephypergraph

A pytorch library for hypergraph learning.

tweetscraper

TweetScraper is a simple crawler/spider for Twitter Search without using API