An Invitation to the Euler Characteristic Transform
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Abstract (arXiv)
The Euler characteristic transform (ECT) is a simple to define yet powerful representation of shape. The idea is to encode an embedded shape using sub-level sets of a a function defined based on a given direction, and then returning the Euler characteristics of these sublevel sets. Because the ECT has been shown to be injective on the space of embedded simplicial complexes, it has been used for applications spanning a range of disciplines, including plant morphology and protein structural analysis. In this survey article, we present a comprehensive overview of the Euler characteristic transform, highlighting the main idea on a simple leaf example, and surveying its its key concepts, theoretical foundations, and available applications.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Oct 2023.
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Citing papers per year: 2024: 2; 2025: 4; 2026: 3.
9 papers.
- 2024Topology meets Machine Learning: An Introduction using the Euler Characteristic Transformcited by 4
- 2024Point Cloud Synthesis Using Inner Product Transformscited by 2
- 2025LEAP: Local ECT-Based Learnable Positional Encodings for Graphscited by 2
- 2025Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularizationcited by 1
- 2025Molecular Machine Learning Using Euler Characteristic Transformscited by 1
- 2025Tensor Computation of Euler Characteristic Functions and Transformscited by 0
- 2026TopoGate: Quality-Aware Topology-Stabilized Gated Fusion for Longitudinal Low-Dose CT New-Lesion Predictioncited by 0
- 2026Geometry-Aware Simplicial Message Passingcited by 0
- 2026Encoding the Euler Characteristic Transformcited by 0
- 2026Encoding the Euler Characteristic Transform9 Jun 2026
- 2026Geometry-Aware Simplicial Message Passing7 May 2026
- 2026TopoGate: Quality-Aware Topology-Stabilized Gated Fusion for Longitudinal Low-Dose CT New-Lesion Prediction19 Feb 2026
- 2025Tensor Computation of Euler Characteristic Functions and Transforms5 Nov 2025
- 2025LEAP: Local ECT-Based Learnable Positional Encodings for Graphs1 Oct 2025
- 2025Molecular Machine Learning Using Euler Characteristic Transforms4 Jul 2025
- 2025Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization7 May 2025
- 2024Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform23 Oct 2024
- 2024Point Cloud Synthesis Using Inner Product Transforms9 Oct 2024