Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...

Check Your Work: After completing the table, take the time to review your calculations. One way to check your work is to plot the points from the table on a graph. If the points don't form a pattern ...

Abstract: Graph Neural Networks (GNNs) have achieved remarkable performance on various learning tasks on geometric data. However, the incorporation of graph structures into the learning of node ...

Abstract: Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph ...

All test video simulations can be found at https://dx.doi.org/10.5281/zenodo.7652663. models: Deep learning models developed for surrogating the hydraulic one ...