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Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature
Nature
Non-pharmaceutical interventions (NPI) have great potential to improve cognitive function but limited investigation to discover NPI...
4 months ago
Foundation Models in Graph & Geometric Deep Learning
Towards Data Science
A Graph Foundation Model is a single (neural) model that learns transferable graph representations that can generalize to any new, previously unseen graph.
2 months ago
Bayesian parametric models for survival prediction in medical applications
BMC Medical Research Methodology
Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials.
10 months ago
ProtEx: Enhancing Protein Function Prediction with Retrieval-Augmented Deep Learning
MarkTechPost
Mapping protein sequences to their biological functions is crucial in biology, as proteins perform diverse roles in organisms.
3 months ago
Conformal Prediction for Machine Learning Classification —From the Ground Up
Towards Data Science
This blog post is inspired by Chris Molner's book — Introduction to Conformal Prediction with Python. Chris is brilliant at making new...
9 months ago
Sequential stacking link prediction algorithms for temporal networks
Nature
Link prediction algorithms are indispensable tools in many scientific applications by speeding up network data collection and imputing...
7 months ago
Survival prediction models: an introduction to discrete-time modeling
BMC Medical Research Methodology
Prediction models for time-to-event outcomes are commonly used in biomedical research to obtain subject-specific probabilities that aid in...
25 months ago
Inductive Link Prediction in Knowledge Graphs
Towards Data Science
Since very 2011, the area of representation learning over Knowledge Graphs has been dominated by one task: transductive link prediction.
29 months ago
Link prediction in complex network using information flow
Nature
In this paper, we use parametrised matrix forest index (PMFI) to predict missing links in a network. We show that, for small parameter values, this index is...
12 months ago
Reversibility of link prediction and its application to epidemic mitigation
Nature
In this paper we will introduce and explain RLP, reverse link prediction, as a new paradigm, and use popular basic scoring methods including CN, JC, AA, RA,...
21 months ago