khizer-hayat
I am a PhD student at the School of Computing, Macquarie University, Sydney, Australia under the supervision of Prof. Jian Yang and co-supervision of Dr. Jia Wu
Macquarie UniversitySydney, Australia
Pinned Repositories
SHGLNN
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification
EvoNetClus
A C# implementation of the EvoNetClus algorithm.
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.
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
khizer-hayat's Repositories
khizer-hayat/SHGLNN
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification
khizer-hayat/SHGLNetwork
Self-supervised Heterogeneous Hypergraph Neural Network for Graph-level Classification
khizer-hayat/malikhayat.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
khizer-hayat/DHHNN
Dynamic Heterogeneous Hypergraph Neural Network
khizer-hayat/HyperNetX
Python package for hypergraph analysis and visualization.
khizer-hayat/Learning-Graph-Neural-Networks
This repository includes examples of GNN, and real world GNN solutions to graph data.
khizer-hayat/TweetScraper
TweetScraper is a simple crawler/spider for Twitter Search without using API
khizer-hayat/THU-DeepHypergraph
A pytorch library for hypergraph learning.
khizer-hayat/EvoNetClus
A C# implementation of the EvoNetClus algorithm.
khizer-hayat/TDI
TDI - Challenge
khizer-hayat/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.
khizer-hayat/mathnet-numerics
Math.NET Numerics
khizer-hayat/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
khizer-hayat/MetaData
khizer-hayat/lpsolve
Java wrapper for lpsolve library
khizer-hayat/DPGMM.js
DPGMM.js is a JavaScript implementation of a Dirichlet process gaussian mixture model (DPGMM)
khizer-hayat/DPMM-Clustering
Java implementation of Dirichlet Process Mixture Model.
khizer-hayat/ProbabilityUtils
A static class for calculating probabilities for normally distributed variables.