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congliuUvA/Clifford|Group|Equivariant|Simplicial|Message|Passing ...


congliuUvA/Clifford-Group-Equivariant-Simplicial-Message-Passing ...

Abstract. We introduce Clifford Group Equivariant Simplicial Message Passing Networks, a method for steerable E(n)-equivariant message passing on simplicial ...

Clifford Group Equivariant Simplicial Message Passing Networks ...

Clifford Group Equivariant Simplicial Message Passing Networks. 15 Feb 2024 ... Add Remove Mark official. congliuuva/clifford-group-equivaria… official. 9.

Clifford Group Equivariant Simplicial Message Passing Networks

Clifford algebras include higher-order objects such as bivectors and trivectors, which express geometric features (e.g., areas, volumes) derived ...

setup.py - GitHub

The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing ... congliuUvA/Clifford-Group-Equivariant-Simplicial-Message-Passing-

‪Cong Liu‬ - ‪Google Scholar‬

Clifford group equivariant simplicial message passing networks. C Liu, D Ruhe, F Eijkelboom, P Forré. arXiv preprint arXiv:2402.10011, 2024. 7, 2024.

A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph ...

In this paper, we introduce the Clifford Group Equivariant Graph Neural Networks (CG-EGNNs), a novel EGNN that enhances high-order message passing.

A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph ...

of combinations: {1,2,3,1−2,1−3,2−3,1−2−3}). 6https://github.com/congliuUvA/Clifford-Group- Equivariant-Simplicial- Message-Passing- ...

Multivector Neurons: Better and Faster O(n)-Equivariant Clifford ...

Multivector Neurons: Better and Faster O(n)-Equivariant Clifford ... In this work, we test a few novel message passing ... congliuUvA/Multivector-Neurons official.

Clifford Group Equivariant Simplicial Message Passing Networks

Experimental results show that our method is able to outperform both equivariant and simplicial graph neural networks on a variety of geometric ...

CLIFFORD GROUP EQUIVARIANT SIMPLICIAL MES - OpenReview

Using this knowledge, we represent simplex fea- tures through geometric products of their vertices. To achieve efficient simplicial message passing, we share ...

E(n) Equivariant Message Passing Simplicial Networks

EMPSNs simultane- ously generalize E(n) Equivariant Graph Neural. Networks to a topologically more elaborate coun- terpart and provide an approach for including ...

E$(n)$ Equivariant Message Passing Simplicial Networks

This paper presents E(n) Equivariant Message Passing Simplicial Networks (EMPSNs), a novel approach to learning on geometric graphs and point clouds.

Clifford Group Equivariant Neural Networks | David Ruhe - YouTube

Valence Labs is a research engine within Recursion committed to advancing the frontier of AI in drug discovery. Learn more about our open ...