Characterization of relational table embeddings (VLDB 2024).

Tools for creating and reusing high-quality spreadsheets

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data (QAST, AAAI 2023)

Distributed Non Negative RESCAL decomposition with estimation of latent features

imFTP: Deep Imbalance Learning via Fuzzy Transition and Prototypical Learning (imFTP, Information Sciences 2024)

Generate, Load, Develop and Test with consistent relational datasets!

This application focuses on recommending music artists using NCF. The dataset, HetRec 2011 Last.fm, includes user-artist interactions, friend relationships, and tagging information for 1,892 users and 17,632 artists. The model predicts top artist recommendations for users, incorporating social and listening behavior data to enhance personalization.