Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models-Reference-Cited by-同舟云学术

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Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models

Published:2024-04-14 Issue: Volume: Page:9516-9520
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Money Rohan¹,Krishnan Joshin¹,Beferull-Lozano Baltasar¹,Isufi Elvin²

Affiliation:

1. Simula Metropolitan Center for Digital Engineering,SIGIPRO Department,Oslo,Norway

2. Delft University of Technology,Intelligent Systems Department,Delft,The Netherlands

Funder

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448180.pdf?arnumber=10448180

Reference25 articles.

1. Topological Signal Processing Over Simplicial Complexes

2. Online topology estimation for vector autoregressive processes in data networks

3. Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

4. DYNAMIC NETWORK IDENTIFICATION FROM NON-STATIONARY VECTOR AUTOREGRESSIVE TIME SERIES

5. Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection

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