Abstract: Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (GED). In ...
Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...
Legal Environment, Corporate Governance, Financial Performance, SACCOS, Institutional Theory Share and Cite: Mbegu, S. (2026) Legal Environment and SACCOS Financial Performance in Mbeya, Tanzania: ...
This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...
TASO optimizes the computation graphs of DNN models using automatically generated and verified graph transformations. For an arbitrary DNN model, TASO uses the auto-generated graph transformations to ...
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