The Relational Transformer architecture for Relational Foundation Models
A synthetic tabular and relational data generation framework
A package for benchmarking synthetic relational data generation methods
Characterization of relational table embeddings (VLDB 2024).
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data (QAST, AAAI 2023)
Tools for creating and reusing high-quality spreadsheets
Generate realistic Synthetic enterprise data for Spark, Pandas, testing, demos, benchmarking, learning, and research.
imFTP: Deep Imbalance Learning via Fuzzy Transition and Prototypical Learning (imFTP, Inf. Sci. 2024)
Distributed Non Negative RESCAL decomposition with estimation of latent features
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.
Generate, Load, Develop and Test with consistent relational datasets!
A practical Python toolkit for applied and statistical social network analysis, with research-grade documentation and transparent methodological boundaries.
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