Search Results for author: Paolo Scotton

Found 6 papers, 0 papers with code

Attention-based Interpretability with Concept Transformers

no code implementations ICLR 2022 Mattia Rigotti, Christoph Miksovic, Ioana Giurgiu, Thomas Gschwind, Paolo Scotton

In particular, we design the Concept Transformer, a deep learning module that exposes explanations of the output of a model in which it is embedded in terms of attention over user-defined high-level concepts.

Learning MR-Sort Models from Non-Monotone Data

no code implementations20 Jul 2021 Pegdwende Minoungou, Vincent Mousseau, Wassila Ouerdane, Paolo Scotton

The Majority Rule Sorting (MR-Sort) method assigns alternatives evaluated on multiple criteria to one of the predefined ordered categories.

Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention

no code implementations14 Feb 2021 Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Christoph Miksovic, Thomas Gschwind, Paolo Scotton

Knowledge graph embedding methods learn embeddings of entities and relations in a low dimensional space which can be used for various downstream machine learning tasks such as link prediction and entity matching.

Graph Attention Knowledge Graph Embedding +1

Siamese Graph Neural Networks for Data Integration

no code implementations17 Jan 2020 Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati

In this work, we propose a general approach to modeling and integrating entities from structured data, such as relational databases, as well as unstructured sources, such as free text from news articles.

Fast Record Linkage for Company Entities

no code implementations19 Jul 2019 Thomas Gschwind, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka, Paolo Scotton

These insights guide further analytic approaches to the data and support data visualization.

Data Visualization

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