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/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
hussien/amazon-bedrock-rag
Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock
hussien/Auto-KGQA
hussien/Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
hussien/Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
hussien/CAG
Cache-Augmented Generation
hussien/chatgpt-prompt-splitter
ChatGPT PROMPTs Splitter. Tool for safely process chunks of up to 15,000 characters per request
hussien/dspy
DSPy: The framework for programming—not prompting—foundation models
hussien/G-Retriever
Repository for G-Retriever
hussien/GNN-RAG
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
hussien/Graph-Neural-Networks-INF367A
Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.
hussien/graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
hussien/graphstorm
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
hussien/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
hussien/hussein
hussien/InfiniGen
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)
hussien/KGNET
A graph machine learning enabled engine (GML-Enabled)
hussien/KGTOSA
A Task-Oriented graph SAmpler for HGNN
hussien/LightRAG
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
hussien/linkedIn_auto_jobs_applier_with_AI
LinkedIn_AIHawk is a tool that automates the jobs application process on LinkedIn. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.
hussien/llama_index
LlamaIndex is a data framework for your LLM applications
hussien/NExT-GPT
Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
hussien/OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
hussien/OpenGraph
"OpenGraph: Towards Open Graph Foundation Models"
hussien/PrimeKG
Precision Medicine Knowledge Graph (PrimeKG)
hussien/pytorch_geometric
Graph Neural Network Library for PyTorch
hussien/RAGFoundry
Framework for specializing LLMs for retrieval-augmented-generation tasks using fine-tuning.
hussien/relations
How do transformer LMs encode relations?
hussien/SpotTarget
hussien/TaxoGlimpse
Code and data for the VLDB 2024 benchmark paper: Are Large Language Models a Good Replacement of Taxonomies?