Simone Colombo, Dimitrios Alivanistos, Michael Cochez. Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. In Andreas Martin 0001, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen, editors, Proceedings 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. Volume 3121 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]
@inproceedings{ColomboAC22,
title = {Potential Energy to Improve Link Prediction With Relational Graph Neural Networks},
author = {Simone Colombo and Dimitrios Alivanistos and Michael Cochez},
year = {2022},
url = {http://ceur-ws.org/Vol-3121/short2.pdf},
researchr = {https://researchr.org/publication/ColomboAC22},
cites = {0},
citedby = {0},
booktitle = {Proceedings 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},
editor = {Andreas Martin 0001 and Knut Hinkelmann and Hans-Georg Fill and Aurona Gerber and Doug Lenat and Reinhard Stolle and Frank van Harmelen},
volume = {3121},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}