A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity | Paper Citation Record

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This paper cites Topology and data.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Topology and data

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This paper cites Topological data analysis.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Topological data analysis

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This paper cites & Rouanet, H.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Rouanet, H

Reference 3

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This paper cites Geometric data analysis: an empirical approach to dimensionality reduction and the study of patterns (John Wiley & Sons, Inc., 2000).

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Geometric data analysis: an empirical approach to dimensionality reduction and the study of patterns (John Wiley & Sons, Inc., 2000)

Reference 4

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This paper cites & Rosenfeld, A.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Rosenfeld, A

Reference 5

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This paper cites Topological pattern recognition for point cloud data.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Topological pattern recognition for point cloud data

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This paper cites & Guibas, L.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Guibas, L

Reference 7

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This paper cites Search-based path planning with homotopy class constraints.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Search-based path planning with homotopy class constraints

Reference 8

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Guibas, L

Reference 9

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This paper cites The persistent cosmic web and its filamentary structure–i.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity The persistent cosmic web and its filamentary structure–i

Reference 10

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Laubenbacher, R

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This paper cites Topological methods for exploring low-density states in biomolecular folding pathways.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Topological methods for exploring low-density states in biomolecular folding pathways

Reference 12

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This paper cites Topological persistence and simplification.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Topological persistence and simplification

Reference 13

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This paper cites & Carlsson, G.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Carlsson, G

Reference 14

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Niyogi, P

Reference 16

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This paper cites Ricci curvature of markov chains on metric spaces.J.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Ricci curvature of markov chains on metric spaces.J

Reference 17

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This paper cites Bochner’s method for cell complexes and combinatorial ricci curvature.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Bochner’s method for cell complexes and combinatorial ricci curvature

Reference 18

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This paper cites Curves and surfaces for computer-aided geometric design: a practical guide (Elsevier, 2014).

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Curves and surfaces for computer-aided geometric design: a practical guide (Elsevier, 2014)

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Glen, R

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Bajorath, J

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This paper cites A., Jammal, V.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity A., Jammal, V

Reference 25

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Unresolved cited work

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This paper cites C., Grunwald, G.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity C., Grunwald, G

Reference 27

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Hahn, M

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This paper cites Installation and operational experiences with maccs (molecular access system).

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Installation and operational experiences with maccs (molecular access system)

Reference 29

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Héberger, K

Reference 30

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Consonni, V

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity S., Riley, P

Reference 32

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity A., Gallardo, M

Reference 33

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity P ., Hymel, J

Reference 35

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Wei, G.-W

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This paper cites E., Mémoli, F .et al.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity E., Mémoli, F .et al

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This paper cites Persistent Clustering and a Theorem of J. Kleinberg.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Persistent Clustering and a Theorem of J. Kleinberg

Reference 38

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity K., Kang, H., Kim, B.-N

Reference 39

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity K., Kim, B.-N

Reference 40

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity K., Lee, H., Solo, V., Davidson, R

Reference 41

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Unresolved cited work

Reference 42

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This paper cites Groups of polynomial growth and expanding maps (with an appendix by Jacques Tits).

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Groups of polynomial growth and expanding maps (with an appendix by Jacques Tits)

Reference 43

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This paper cites On the use of Gromov-Hausdorff Distances for Shape Comparison.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity On the use of Gromov-Hausdorff Distances for Shape Comparison

Reference 44

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity M., Bronstein, M

Reference 45

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity J., Mémoli, F

Reference 46

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This paper cites Some properties of Gromov–Hausdorff distances.Discret.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Some properties of Gromov–Hausdorff distances.Discret

Reference 47

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Wan, Z

Reference 48

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This paper cites Gromov-Hausdorff ultrametric.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Gromov-Hausdorff ultrametric

Reference 49

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This paper cites Chemoinformatics: concepts, methods, and tools for drug discovery , vol.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Chemoinformatics: concepts, methods, and tools for drug discovery , vol

Reference 50

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This paper cites C., Rensi, S.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity C., Rensi, S

Reference 51

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This paper cites Harmonische funktionen und randwertaufgaben in einem komplex.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Harmonische funktionen und randwertaufgaben in einem komplex

Reference 52

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This paper cites Hodge Laplacians on graphs.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Hodge Laplacians on graphs

Reference 53

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Y ogeshwaran, D

Reference 54

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Unresolved cited work

Reference 55

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Egerstedt, M

Reference 56

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Jost, J

Reference 57

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Sardellitti, S

Reference 58

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Steenbergen, J

Reference 59

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Rosenthal, R

Reference 60

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Unresolved cited work

Reference 61

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity T., Benson, A

Reference 62

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This paper cites Probing omics data via harmonic persistent homology.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Probing omics data via harmonic persistent homology

Reference 63

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & Cox, N

Reference 64

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Observation 452d5a1c-f072-4880-a0b9-9b59940f8d8f · outbound

This paper cites 7 (von Veit, 1914).

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity 7 (von Veit, 1914)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:49:50.119787Z

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Observation 2e6c816d-1477-41f9-93d6-5b214ccf5c47 · outbound

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity R., Thorpe, M., Slepcev, D

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:49:50.107180Z

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Observation 3663b713-41b9-4525-b730-997c4da0f0c9 · outbound

This paper cites T opics in optimal transportation, vol.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity T opics in optimal transportation, vol

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:49:50.094282Z

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Observation dfc7e307-78e4-493a-988a-d5f39b0223e5 · outbound

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity & De Silva, V

Reference 68

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Observation 8055ff41-70e2-4b2e-a8bf-7acf6bee4e0f · outbound

This paper cites Computational aspects of the Gromov–Hausdorff distance and its application in non-rigid shape matching.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Computational aspects of the Gromov–Hausdorff distance and its application in non-rigid shape matching

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:49:50.066946Z

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Observation faf489bc-02a0-4f44-b89d-f882cbf3ffd8 · outbound

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity V., Xu, Q., Wee, J., Xia, K

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:49:50.049933Z

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Observation 2b090604-30c3-4de7-8122-6e4cdc02d3ab · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 71

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Source-reported events for the cited work

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Observation 2384fc5a-f9d6-45ae-a8a4-1207d09fdafd · outbound

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A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity Attending to Topological Spaces: The Cellular Transformer

Reference 72

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Source-reported events for the cited work

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Observation c3cd5510-c165-4725-b244-971e39443bd9 · outbound

This paper cites M.Molecular similarity in drug design (Springer Science & Business Media, 2012).

A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity M.Molecular similarity in drug design (Springer Science & Business Media, 2012)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:49:50.034868Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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