IEEE

Neural Acceleration of Graph Based Utility Functions for Sparse Matrices

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...
GitHub

Lovelace Mini Graph Card

A minimalistic and customizable graph card for Home Assistant Lovelace UI. The card works with entities from within the sensor & binary_sensor domain and displays the sensors current state as well as ...
GitHub

ProtHGT: Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Knowledge Graphs and Language Models

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...
IEEE

Bilinear Scoring Function Search for Knowledge Graph Learning

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...
C&EN

Expansion of the 4-(Diethylamino)benzaldehyde Scaffold to Explore the Impact on Aldehyde Dehydrogenase Activity and Antiproliferative Activity in Prostate Cancer

Institute of Cancer Therapeutics, School of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Yorkshire BD7 1DP, U.K. Institute of Cancer Therapeutics, School of ...