ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.03808
  4. Cited By
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug
  Discovery

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

7 November 2022
Andac Demir
Baris Coskunuzer
I. Segovia-Dominguez
Yuzhou Chen
Yulia R. Gel
B. Kiziltan
ArXivPDFHTML

Papers citing "ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery"

11 / 11 papers shown
Title
Topology-Aware CLIP Few-Shot Learning
Topology-Aware CLIP Few-Shot Learning
Dazhi Huang
VLM
42
0
0
03 May 2025
TopER: Topological Embeddings in Graph Representation Learning
TopER: Topological Embeddings in Graph Representation Learning
Astrit Tola
Funmilola Mary Taiwo
Cüneyt Gürcan Akçora
Baris Coskunuzer
38
0
0
02 Oct 2024
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
I. Trofimov
Daria Voronkova
Eduard Tulchinskii
Evgeny Burnaev
Serguei Barannikov
35
0
0
11 Jul 2024
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
Soham Mukherjee
Shreyas N. Samaga
Cheng Xin
Steve Oudot
Tamal K. Dey
53
6
0
11 Jun 2024
EMP: Effective Multidimensional Persistence for Graph Representation
  Learning
EMP: Effective Multidimensional Persistence for Graph Representation Learning
I. Segovia-Dominguez
Yuzhou Chen
Cüneyt Gürcan Akçora
Zhiwei Zhen
Murat Kantarcioglu
Yulia R. Gel
Baris Coskunuzer
51
4
0
24 Jan 2024
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive
  Molecular Property Prediction
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction
Andac Demir
Francis Prael
B. Kiziltan
29
2
0
12 Dec 2023
Improving Self-supervised Molecular Representation Learning using
  Persistent Homology
Improving Self-supervised Molecular Representation Learning using Persistent Homology
Yuankai Luo
Lei Shi
Veronika Thost
SSL
39
8
0
29 Nov 2023
Multiparameter Persistent Homology for Molecular Property Prediction
Multiparameter Persistent Homology for Molecular Property Prediction
Andac Demir
B. Kiziltan
35
1
0
17 Nov 2023
Stable Vectorization of Multiparameter Persistent Homology using Signed
  Barcodes as Measures
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
David Loiseaux
Luis Scoccola
Mathieu Carrière
M. B. Botnan
S. Oudot
35
19
0
06 Jun 2023
GRIL: A $2$-parameter Persistence Based Vectorization for Machine
  Learning
GRIL: A 222-parameter Persistence Based Vectorization for Machine Learning
Cheng Xin
Soham Mukherjee
Shreyas N. Samaga
T. Dey
45
15
0
11 Apr 2023
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
114
846
0
27 Jul 2012
1