A modular graph-based Retrieval-Augmented Generation (RAG) system

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

🦜🔗 The platform for reliable agents.

The Player Scouting Recommendation System is a tool designed and engineered for football scouts, coaches and analysts. This system uses advanced information retrieval and artificial intelligence te…

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

Representation learning on large graphs using stochastic graph convolutions.

AI-based ECG interpretation will assist specialists, recently graduated doctors and even non-cardiology professionals in diagnosing various illnesses utilizing the ECG.

Emotion recognition is a powerful and very useful technique in the modern world in almost every field including healthcare, entertainment, automotive industry etc. The main objective of this projec…

Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021

All the works during my internship in Academia Sinica, IIS

Graph Neural Networks for Recommender Systems