GitHub

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction.

K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...
katc

Lafayette Parish neighbors gather for Creole Table and music jam at Feed and Seed with Santa

LAFAYETTE PARISH — Neighbors of all ages came together in Lafayette Parish to enjoy Feed and Seed for the Creole Table and Jam. The Creole Table was held from 6 to 7 p.m., followed immediately by a ...
IEEE

An Ensemble for Automatic Time Series Forecasting With K-Nearest Neighbors

Abstract: In this paper a novel approach for automatically configuring a k-nearest neighbors regressor for univariate time series forecasting is presented. The approach uses an ensemble consisting of ...