| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparison of statistical relational learning and graph neural networks for aggregate graph queries
|
Embar, Varun
|
|
|
110 |
7 |
p. 1847-1866
|
artikel
|
| 2 |
Beyond graph neural networks with lifted relational neural networks
|
Šourek, Gustav
|
|
|
110 |
7 |
p. 1695-1738
|
artikel
|
| 3 |
Distance metric learning for graph structured data
|
Yoshida, Tomoki
|
|
|
110 |
7 |
p. 1765-1811
|
artikel
|
| 4 |
Incorporating symbolic domain knowledge into graph neural networks
|
Dash, Tirtharaj
|
|
|
110 |
7 |
p. 1609-1636
|
artikel
|
| 5 |
Inductive learning of answer set programs for autonomous surgical task planning
|
Meli, Daniele
|
|
|
110 |
7 |
p. 1739-1763
|
artikel
|
| 6 |
Joint optimization of an autoencoder for clustering and embedding
|
Boubekki, Ahcène
|
|
|
110 |
7 |
p. 1901-1937
|
artikel
|
| 7 |
Learning hierarchical probabilistic logic programs
|
Nguembang Fadja, Arnaud
|
|
|
110 |
7 |
p. 1637-1693
|
artikel
|
| 8 |
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels
|
Nguyen, Dai Hai
|
|
|
110 |
7 |
p. 1585-1607
|
artikel
|
| 9 |
Linear support vector regression with linear constraints
|
Klopfenstein, Quentin
|
|
|
110 |
7 |
p. 1939-1974
|
artikel
|
| 10 |
Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model
|
Gnecco, Giorgio
|
|
|
110 |
7 |
p. 1549-1584
|
artikel
|
| 11 |
OWL2Vec*: embedding of OWL ontologies
|
Chen, Jiaoyan
|
|
|
110 |
7 |
p. 1813-1845
|
artikel
|
| 12 |
Tensor Q-rank: new data dependent definition of tensor rank
|
Kong, Hao
|
|
|
110 |
7 |
p. 1867-1900
|
artikel
|
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