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Abstract: Community detection and its variations is one of the typically employed approaches for analyzing graph data originating from various diverse fields. In this paper, we focus on a particular ...

Abstract: Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are ...

A Knowledge Graph Enhanced Hybrid Geometric Recommendation System that integrates SVD decomposition, hyperbolic geometry, and knowledge graph embeddings for improved recommendation performance. - ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...

The purpose of this repository is to share KQL queries that can be used by anyone and are understandable. These queries are intended to increase detection coverage through the logs of Microsoft ...