hussien
PhD candidate/TA at Concordia University @CoDS-GCS , Interested in ML applications for large Scale KGs, Sampling for Graph neural networks,RAG-KG
Computer Science PhD CandidateMontreal,Canada
Pinned Repositories
KGNET
A graph machine learning enabled engine (GML-Enabled)
KGTOSA
A Task-Oriented graph SAmpler for HGNN
Benchmarking-CUDA
A quick way to benchmark your CUDA compiler on a Linux environment
benchmarking-gnns
Repository for benchmarking graph neural networks
Deep-Learning-W2021-COMP-499-691
GNNPapers
Must-read papers on graph neural networks (GNN)
graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
OpenRQ
PS2
hussien's Repositories
hussien/KGNet-Interface
UI Interface for KGNet, written with React and MaterialUI
hussien/awesome-mlops
A curated list of references for MLOps
hussien/awesome-public-datasets
A topic-centric list of HQ open datasets.
hussien/cifar10_pytorch
Model benchmark on CIFAR10 dataset in PyTorch.
hussien/cloud-computing-schema
Cloud IaaS Schema
hussien/ClusteringTableHeaders
This project aims at creating an RDF schema given a list of column headers of a tabular dataset. It first transforms the given header list into meaningful vectors, then it applies a distance-based Clustering algorithm such that it maximizes the similarity among headers inside one cluster. The user has the facility to move items from one cluster to another and merge among some clusters. The system can suggest cluster names based on the commonality among its members. If no common word found, it will produce Unknown. Afterwards, the user can rename the automatically generated names. Finally, it can expose the resultant clusters in an RDF format.
hussien/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
hussien/course_elk
ELK workshop
hussien/edgar-crawler
Download financial reports. Extract clean textual data. Bootstrap your financial NLP research. Software from the accompanying paper published in ECONLP 2021.
hussien/ExplainableMLOntology
Work related to the Article Semantic Description of Explainable Machine Learning Workflows for Improving Trust
hussien/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
hussien/grail
Inductive relation prediction by subgraph reasoning, ICML'20
hussien/graph4code
GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.
hussien/INDIGO
hussien/KGE
Some papers on Knowledge Graph Embedding(KGE)
hussien/kgtk
Knowledge Graph Toolkit
hussien/marius
Large scale embeddings on a single machine.
hussien/mtab4dbpedia
hussien/name-dataset
Probably the biggest dataset of Names, worldwide.
hussien/names-dataset
A dataset of multinational first names and last names
hussien/NextDoor
Graph Sampling using GPU
hussien/pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
hussien/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
hussien/pykg2vec
Python library for knowledge graph embedding and representation learning.
hussien/Python-Parallel-Programming-Cookbook-Second-Edition
Python Parallel Programming Cookbook – Second Edition, published by Packt
hussien/pytorch-cifar
95.47% on CIFAR10 with PyTorch
hussien/SEAL_OGB
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
hussien/stellargraph
StellarGraph - Machine Learning on Graphs
hussien/torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
hussien/virtualhome
API to run VirtualHome, a Multi-Agent Household Simulator