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 ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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IEEE

Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan

Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...
IEEE

Optimisation Research on K-Means Clustering Algorithm Based on Principal Component Analysis and Percentile Improvement

Abstract: The traditional K-means algorithm often leads to unstable clustering quality due to the randomness of the initial clustering center selection and tends to fall into suboptimal solutions when ...
Morningstar

A Hidden Trend Is Changing 401(k) Plans. Here’s What It Means for Investors

No one really talks about how 401(k) plans are paid for. Investment management fees are visible and well documented, but that’s only part of the picture. Beyond the funds you invest in, plans also pay ...