Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings

von Zhang, Dongxu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

MIN/MAX STABILITY AND BOX DISTRIBUTIONS

von Boratko, Michael
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

IMPROVING LOCAL IDENTIFIABILITY IN PROBABILISTIC BOX EMBEDDINGS

von Dasgupta, Shib
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

Capacity and Bias of Learned Geometric Embeddings for Directed Graphs

von Boratko, Michael
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 20 of 36 (2022)