Web%0 Conference Paper %T Constant Curvature Graph Convolutional Networks %A Gregor Bachmann %A Gary Becigneul %A Octavian Ganea %B Proceedings of the 37th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2024 %E Hal Daumé III %E Aarti Singh %F pmlr-v119-bachmann20a %I … WebGary Becigneul Aurelien Lucchi We propose a novel second-order ODE as the continuous-time limit of a Riemannian accelerated gradient-based method on a man-ifold with curvature bounded from below.
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WebHyperbolic Entailment Cones for Learning Hierarchical Embeddings. Ganea, Octavian-Eugen. ; Bécigneul, Gary. ; Hofmann, Thomas. Learning graph representations via low-dimensional embeddings that preserve relevant network properties is an important class of problems in machine learning. We here present a novel method to embed directed … WebJun 15, 2024 · Gary Becigneul Thomas Hofmann Learning graph representations via low-dimensional embeddings that preserve relevant network properties is an important class of problems in machine learning. chainsaw chain education
Hyperbolic graph convolutional neural networks Proceedings of …
WebGary Becigneul 13 publications . Charlotte Bunne 12 publications . newest popular; Activity Feed; Likes; research ∙ 11/15/2024. Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking ... WebGary Bécigneul Dept. of Computer Science ETH Zürich Zurich, Switzerland Thomas Hofmann Dept. of Computer Science ETH Zürich Zurich, Switzerland Abstract Hyperbolic … WebApr 11, 2024 · Octavian-Eugen Ganea, Gary Bécigneul, and Thomas Hofmann. 2024. Hyperbolic Neural Networks. In NeurIPS. 5350-5360. Kaiming He, and Piotr Dollár. 2024. Focal loss for dense object detection. happi-time typewriter ribbon refill