Graph transformers: A survey

A Shehzad, F Xia, S Abid, C Peng, S Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Graph transformers are a recent advancement in machine learning, offering a new class of
neural network models for graph-structured data. The synergy between transformers and …

CGAPoseNet+ GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression

A Pepe, J Lasenby, S Buchholz - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
We introduce CGAPoseNet+ GCAN, which enhances CGAPoseNet, an architecture for
camera pose regression, with a Geometric Clifford Algebra Network (GCAN). With the …

Machine learning clifford invariants of ADE coxeter elements

S Chen, PP Dechant, YH He, E Heyes, E Hirst… - Advances in Applied …, 2024 - Springer
There has been recent interest in novel Clifford geometric invariants of linear
transformations. This motivates the investigation of such invariants for a certain type of …

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting

H Wang, J Chen, T Pan, Z Dong, L Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Traffic forecasting is a cornerstone of smart city management, enabling efficient resource
allocation and transportation planning. Deep learning, with its ability to capture complex …

Inner Product of Two Oriented Points in Conformal Geometric Algebra in Detail

E Hitzer - … on Advanced Computational Applications of Geometric …, 2022 - Springer
We study in full detail the inner product of oriented points in conformal geometric algebra
and its geometric meaning. The notion of oriented point is introduced and the inner product …