Search Results for author: Maosheng Yang

Found 9 papers, 3 papers with code

Hodge-Compositional Edge Gaussian Processes

1 code implementation30 Oct 2023 Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi

We propose principled Gaussian processes (GPs) for modeling functions defined over the edge set of a simplicial 2-complex, a structure similar to a graph in which edges may form triangular faces.

Gaussian Processes Hyperparameter Optimization

Generalized signals on simplicial complexes

no code implementations11 May 2023 Feng Ji, Xingchao Jian, Wee Peng Tay, Maosheng Yang

Topological signal processing (TSP) over simplicial complexes typically assumes observations associated with the simplicial complexes are real scalars.

Convolutional Learning on Simplicial Complexes

no code implementations26 Jan 2023 Maosheng Yang, Elvin Isufi

We propose a simplicial complex convolutional neural network (SCCNN) to learn data representations on simplicial complexes.

Trajectory Prediction

Convolutional Filtering in Simplicial Complexes

no code implementations29 Jan 2022 Elvin Isufi, Maosheng Yang

This paper proposes convolutional filtering for data whose structure can be modeled by a simplicial complex (SC).

Simplicial Convolutional Filters

no code implementations27 Jan 2022 Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus

We study linear filters for processing signals supported on abstract topological spaces modeled as simplicial complexes, which may be interpreted as generalizations of graphs that account for nodes, edges, triangular faces etc.

Simplicial Convolutional Neural Networks

no code implementations6 Oct 2021 Maosheng Yang, Elvin Isufi, Geert Leus

Graphs can model networked data by representing them as nodes and their pairwise relationships as edges.

Link Prediction

Finite Impulse Response Filters for Simplicial Complexes

no code implementations23 Mar 2021 Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus

In this paper, we study linear filters to process signals defined on simplicial complexes, i. e., signals defined on nodes, edges, triangles, etc.

Denoising

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