Results 51 to 60 of about 624,379 (287)

pygrank: A Python package for graph node ranking

SoftwareX, 2022
We introduce pygrank, an open source Python package to define, run and evaluate node ranking algorithms. We provide object-oriented and extensively unit-tested algorithmic components, such as graph filters, post-processors, measures, benchmarks, and ...
Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris, Andreas L. Symeonidis   +3 more
doaj   +1 more source

A Connectedness Constraint for Learning Sparse Graphs

, 2017
Graphs are naturally sparse objects that are used to study many problems involving networks, for example, distributed learning and graph signal processing.
friedman, gnecco, grant, hegde, langville, page, sojoudi, venkitaraman, xiaowen   +8 more
core   +1 more source

Multi-Kernel Regression for Graph Signal Processing [PDF]

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
We develop a multi-kernel based regression method for graph signal processing where the target signal is assumed to be smooth over a graph. In multi-kernel regression, an effective kernel function is expressed as a linear combination of many basis kernel functions.
Venkitaraman, Arun, Chatterjee, Saikat, Händel, Peter   +2 more
openaire   +2 more sources

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

FEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang, Satoshi Hashimoto, Sota Ito, Chisato Kikuguchi, Miho Hoshi, Kiyoshi Yamaguchi, Yoichi Furukawa, Toru Suzuki, Toshifumi Inada   +8 more
wiley   +1 more source

From Time–Frequency to Vertex–Frequency and Back

Mathematics, 2021
The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided.
Ljubiša Stanković, Jonatan Lerga, Danilo Mandic, Miloš Brajović, Cédric Richard, Miloš Daković   +5 more
doaj   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies

, 2017
The goal of this paper is to propose novel strategies for adaptive learning of signals defined over graphs, which are observed over a (randomly time-varying) subset of vertices.
Banelli, Paolo, Barbarossa, Sergio, Di Lorenzo, Paolo, Isufi, Elvin, Leus, Geert   +4 more
core   +1 more source

Learning parametric dictionaries for graph signals [PDF]

, 2014
In sparse signal representation, the choice of a dictionary often involves a tradeoff between two desirable properties -- the ability to adapt to specific signal data and a fast implementation of the dictionary.
Frossard, Pascal, Shuman, David I, Thanou, Dorina   +2 more
core   +2 more sources

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering

Algorithms, 2020
To analyze and synthesize signals on networks or graphs, Fourier theory has been extended to irregular domains, leading to a so-called graph Fourier transform.
Mario Coutino, Sundeep Prabhakar Chepuri, Takanori Maehara, Geert Leus   +3 more
doaj   +1 more source