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- research-articleDecember 2023
Machine learning prediction of structural dynamic responses using graph neural networks
Computers and Structures (CSTR), Volume 289, Issue CDec 2023https://doi.org/10.1016/j.compstruc.2023.107188Highlights- Proposed a novel machine learning approach based on Graph Neural Networks (GNN) for dynamic response simulation of structures subjected to dynamics loads.
- The proposed GNN can simulate full-field spatiotemporal dynamics, generating ...
Prediction of structural responses is essential for the analysis of structural behaviour subjected to dynamic loads. Existing approaches are limited in different ways. Experimental tests are expensive due to the requirement of intensive labour ...
- research-articleJanuary 2023
Multi-View Diffusion Process for Spectral Clustering and Image Retrieval
IEEE Transactions on Image Processing (TIP), Volume 322023, Pages 4610–4620https://doi.org/10.1109/TIP.2023.3302517This paper presents a novel approach to multi-view graph learning that combines weight learning and graph learning in an alternating optimization framework. Multi-view graph learning refers to the problem of constructing a unified affinity graph using ...