Search Results for author:
Found 3 papers, 2 papers with code
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
We present a floorplan embedding technique that uses an attributed graph to represent the geometric information as well as design semantics and behavioral features of the inhabitants as node and edge attributes.
GitEvolve: Predicting the Evolution of GitHub Repositories
Given its crucial role, there is a need to better understand and model the dynamics of GitHub as a social platform.
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
Specifically, we propose a knowledge-base representation learning framework to embed heterogeneous entities for recommendation, and based on the embedded knowledge base, a soft matching algorithm is proposed to generate personalized explanations for the recommended items.
Ranked #3 on
Link Prediction
on Yelp
