Mehran-k/RelNN
RelNN is a novel first-order deep neural model for relational learning.
This is a research project providing code and datasets for relational learning experiments from the paper "Relational Aggregation using First-Order Deep Neural Models." It takes structured relational data, like MovieLens user ratings or Yelp reviews, and processes it through a novel deep neural model. Researchers and academics in machine learning or data science who are studying relational aggregation techniques would use this project.
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Use this if you are a researcher or academic looking to reproduce or build upon experiments in relational aggregation with first-order deep neural models.
Not ideal if you are an end-user seeking a ready-to-use application or a developer looking for a library to integrate into existing systems.
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Language
Java
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Last pushed
Nov 15, 2017
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