1 code implementation • 5 Oct 2023 • Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem
To this end, we introduce GRAPES, an adaptive sampling method that learns to identify the set of nodes crucial for training a GNN.
1 code implementation • 13 Jul 2023 • Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth
However, Knowledge Graphs are not just sets of links but also have semantics underlying their structure.
1 code implementation • 23 Aug 2022 • Dimitrios Alivanistos, Selene Báez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam
ProP implements a multi-step approach that combines a variety of prompting techniques to achieve this.
1 code implementation • 21 Jul 2021 • Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth
In this paper, we describe a reproduction of the Relational Graph Convolutional Network (RGCN).
no code implementations • 2 Apr 2021 • Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta
Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment.
no code implementations • 24 Mar 2021 • Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
SBR recommends books, journals, and conference proceedings relevant to a conference by taking advantage of a semantically enhanced representation of about 27K editorial products.