Article

Path-based reasoning for biomedical knowledge graphs with BioPathNet

2024-06-18

Abstract excerpt

Understanding complex interactions in biomedical networks is crucial for advancements in biomedicine, but traditional link prediction (LP) methods are limited in capturing this complexity. Representation-based learning techniques improve prediction accuracy by mapping nodes to low-dimensional embeddings, yet they often struggle with interpretability and scalability. We present BioPathNet, a novel graph neural netw...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 43a26b54-b7d7-5a60-9d25-814ddf5422a5
DOI: 10.1101/2024.06.17.599219

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Path-based reasoning for biomedical knowledge graphs with BioPathNetDOI 10.1101/2024.06.17.599219Read

BioPathNet: Enhancing Link Prediction in Biomedical Knowledge Graphs through Path Representation LearningSemantic proximity Read

<i>MedGraphNet</i> : Leveraging Multi-Relational Graph Neural Networks and Text Knowledge for Biomedical PredictionsSemantic proximity Read

BIND: Large-Scale Biological Interaction Network Discovery through Knowledge Graph-Driven Machine LearningSemantic proximity Read

BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language modelSemantic proximity Read

KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality.Semantic proximity Read

NetMedGPT - A network medicine foundation model for extensive disease mechanism mining and drug repurposingSemantic proximity Read

A knowledge graph-based disease-gene prediction system using multi-relational graph convolution networks.Semantic proximity Read

RNA Knowledge-Graph analysis through homogeneous embedding methodsSemantic proximity Read

ECLIPSE: Exploration of Complex Ligand-Protein Interactions through Learning from Systems-level Heterogeneous Biomedical Knowledge GraphsSemantic proximity Read

Joint Learning of Node Semantics and Graph Topology using a Transformer in the sparse network regimeSemantic proximity Read

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated GenesSemantic proximity Read

End-to-end interpretable disease-gene association prediction.Semantic proximity Read