Diagonal Adaptive Graph: Revisiting Channel Dependency in Multivariate Time Series Forecasting
Adaptive graph learning has become a widely adopted paradigm for multivariate time series forecasting when explicit physical topology is unavailable. In these approaches, node embeddings are typically used to construct dense adjacency matrices based on pairwise similarity, implicitly coupling repres...
Na minha lista:
| Principais autores: | , , |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2026-04-01
|
| Serier: | Information |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2078-2489/17/4/394 |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|