Potential Energy to Improve Link Prediction With Relational Graph Neural Networks

Simone Colombo, Dimitrios Alivanistos, Michael Cochez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Original languageEnglish
Title of host publicationProceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-23, 2022
EditorsAndreas Martin, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen
StatePublished - Mar 1 2022
Externally publishedYes

Publication series

NameCEUR Workshop Proceedings
  • DL: ICAI Discovery Lab

    van Harmelen, F. (CoPI), De Rijke, M. (CoI), Siebert, M. (CoI), Hoekstra, R. (CoPI), Tsatsaronis, G. (CoPI), Groth, P. (CoPI), Cochez, M. (CoI), Pernisch, R. (CoI), Alivanistos, D. (CoI), Mansoury, M. (CoI), van Hoof, H. (CoI), Pal, V. (CoI), Pijnenburg, T. (CoI), Mitra, P. (CoI), Bey, T. (CoI) & de Waard, A. (CoPI)


    Project: Research

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