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02/08/2023
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks
Biological systems can be studied at multiple levels of information, inc...
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11/23/2021
Link Analysis meets Ontologies: Are Embeddings the Answer?
The increasing amounts of semantic resources offer valuable storage of h...
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10/17/2021
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
The COVID-19 pandemic triggered a wave of novel scientific literature th...
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06/29/2021
Semantic Reasoning from Model-Agnostic Explanations
With the wide adoption of black-box models, instance-based post hoc expl...
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03/31/2021
Transfer Learning for Node Regression Applied to Spreading Prediction
Understanding how information propagates in real-life complex networks y...
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01/23/2021
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
Feature ranking has been widely adopted in machine learning applications...
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09/08/2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Learning from real-life complex networks is a lively research area, with...
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07/30/2020
COVID-19 therapy target discovery with context-aware literature mining
The abundance of literature related to the widespread COVID-19 pandemic ...
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06/08/2020
Propositionalization and Embeddings: Two Sides of the Same Coin
Data preprocessing is an important component of machine learning pipelin...
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02/11/2020
Feature Importance Estimation with Self-Attention Networks
Black-box neural network models are widely used in industry and science,...
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10/29/2019
Symbolic Graph Embedding using Frequent Pattern Mining
Relational data mining is becoming ubiquitous in many fields of study. I...
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02/11/2019
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification
Complex networks are used as an abstraction for systems modeling in phys...
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02/01/2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification
The use of background knowledge remains largely unexploited in many text...
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02/20/2017
Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients
We used redescription mining to find interpretable rules revealing assoc...
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06/13/2016