Rapid and Precise Topological Comparison with Merge Tree Neural Networks

arXiv:2404.05879v1 Announce Type: new
Abstract: Merge trees are a valuable tool in scientific visualization of scalar fields; however, current methods for merge tree comparisons are computationally expensive, primarily due to the exhaustive matching between tree nodes. To address this challenge, we introduce the merge tree neural networks (MTNN), a learned neural network model designed for merge tree comparison. The MTNN enables rapid and high-quality similarity computation. We first demonstrate how graph neural networks (GNNs), which emerged as an effective encoder …

abstract arxiv challenge comparison cs.cg cs.lg current fields however merge networks neural networks nodes scientific tool tree trees type visualization