Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model Giorgio GneccoFederico NutarelliDaniela Selvi OriginalPaper Open access 08 June 2021 Pages: 1549 - 1584
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels Dai Hai NguyenCanh Hao NguyenHiroshi Mamitsuka OriginalPaper 13 June 2021 Pages: 1585 - 1607
Incorporating symbolic domain knowledge into graph neural networks Tirtharaj DashAshwin SrinivasanLovekesh Vig OriginalPaper 13 June 2021 Pages: 1609 - 1636
Learning hierarchical probabilistic logic programs Arnaud Nguembang FadjaFabrizio RiguzziEvelina Lamma OriginalPaper Open access 15 June 2021 Pages: 1637 - 1693
Beyond graph neural networks with lifted relational neural networks Gustav ŠourekFilip Železný Ondřej Kuželka OriginalPaper 15 June 2021 Pages: 1695 - 1738
Inductive learning of answer set programs for autonomous surgical task planning Daniele MeliMohan SridharanPaolo Fiorini OriginalPaper Open access 15 June 2021 Pages: 1739 - 1763
Distance metric learning for graph structured data Tomoki YoshidaIchiro TakeuchiMasayuki Karasuyama OriginalPaper 16 June 2021 Pages: 1765 - 1811
OWL2Vec*: embedding of OWL ontologies Jiaoyan ChenPan HuIan Horrocks OriginalPaper Open access 16 June 2021 Pages: 1813 - 1845
A comparison of statistical relational learning and graph neural networks for aggregate graph queries Varun EmbarSriram SrinivasanLise Getoor OriginalPaper Open access 17 June 2021 Pages: 1847 - 1866
Tensor Q-rank: new data dependent definition of tensor rank Hao KongCanyi LuZhouchen Lin OriginalPaper 21 June 2021 Pages: 1867 - 1900
Joint optimization of an autoencoder for clustering and embedding Ahcène BoubekkiMichael KampffmeyerRobert Jenssen OriginalPaper Open access 21 June 2021 Pages: 1901 - 1937
Linear support vector regression with linear constraints Quentin KlopfensteinSamuel Vaiter OriginalPaper 24 June 2021 Pages: 1939 - 1974
