Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis-Reference-Cited by-同舟云学术

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Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis

Published:2024-04-14 Issue: Volume:40 Page:9761-9765
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Venkat Aarthi¹,Chew Joyce²,Rodriguez Ferran Cardoso³,Tape Christopher J.³,Perlmutter Michael⁴,Krishnaswamy Smita¹

Affiliation:

1. Yale University,Program for Computational Biology and Bioinformatics

2. University of California,Department of Mathematics,Los Angeles

3. University College London Cancer Institute,Department of Oncology

4. Boise State University,Department of Mathematics

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446530.pdf?arnumber=10446530

Reference39 articles.

1. Representation learning on graphs: Methods and applications;Hamilton;IEEE Data Eng. Bull.,2017

2. Poincaré embeddings for learning hierarchical representations;Nickel;Advances in Neural Information Processing Systems,2017

3. Hyperbolic graph convolutional neural networks;Chami,2019

4. Low-Dimensional Hyperbolic Knowledge Graph Embeddings

5. Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

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