📢Newly Launched Special Issue: #InformationTheory and #GraphSignalProcessing edited by Prof. Luis Vergara and Dr. Addisson Salazar from @UPV https://t.co/D6kVbZhbvl

[Special Issue: Efficient Graph Algorithms in Machine Learning] Consider sending your original contributions on #graphneuralnetworks #graphsignalprocessing #graphalgorithms! Deadline: 26 June 2020. https://t.co/kkdSxDQ38e (retweets appreciated) #openaccess #CFP

Announcing our next talk: Speaker: @dvdevill (EPFL) Date/Time: Feb 22, *3:00pm* CET Title: Graph Signal Processing for Neuroimaging: When Anatomy Meets Activity #Neuroimaging #graphsignalprocessing Follow us at https://t.co/WufbLfkRuT!

[Special Issue] Efficient Graph Algorithms in Machine Learning https://t.co/Lj9Ekdvt2u #machinelearningongraphs #graphsignalprocessing #geometricdeeplearning #graphreduction #graphinference #journal #algorithms #openaccess

Check out our new tool to visualize Graph Fourier Transforms. Paper: https://t.co/3ugESbkpOu Code: https://t.co/tO6LYNIAvO Makes it easier to visualize localization, sampling, filtering #graphsignalprocessing

🟥IEICE Transactions on Fundamentals🟥 Jan. issue 2023 🍀 “Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields”🚀 Tatsuya KOYAKUMARU, Masahiro YUKAWA, Eduardo PAVEZ, Antonio ORTEGA 🌞 https://t.co/iQGAyC7crj #graphsignalprocessing

The DEGAS webinar series is back. The new season will begin on 6 Dec 3:00pm CET when @epomqo present "On the stability of spectral graph filters and beyond: A topological perspective". Check out https://t.co/PWFws3v6Zv for details. #graphsignalprocessing

🚀 You don’t want to miss Dr. @Yuzhou_Chang's #PIIO Research-in-Progress seminar, 10AM, Nov. 1 at EAIC 130! He’ll discuss how #GraphSignalProcessing is bridging the gap between #SpatialOmics technologies and real-world applications. 🧬 Join us to explore why #SpatialOmics is

Great work by my student Chenyue & Anthony's student Shangyuan! #graphsignalprocessing

Excited to announce our next talk: Speaker: Antonio Ortega @elpenta Date/Time: May 5, *6:00pm* CET Title: Graph Constructions for Machine Learning Applications: New Insights and Algorithms #graphsignalprocessing Follow us and register at https://t.co/WufbLfkRuT!

Announcing our next talk: Speaker: @rand0m_walk (TU Wien) Date/Time: Mar 29, *3:00pm* CET Title: Graphs for (multiple) data dichotomies #graphsignalprocessing Follow us at https://t.co/WufbLfkjFl!

Excited to announce our next talk: Speaker: Sergio Barbarossa Date/Time: Nov 2, *3:00pm* CET Title: Topological Signal Processing and Learning #graphsignalprocessing Follow us and register at https://t.co/WufbLfkRuT!

Announcing our next talk: Speaker: Selin Aviyente Date/Time: Nov 30, *3:00pm* CET Title: Single view and Multiview Signed Graph Learning: Applications to gene regulatory network inference #graphsignalprocessing #generegulatorynetwor Follow us at https://t.co/WufbLfkRuT!

Excited to announce our next talk: Speaker: Michael Schaub @RWTH Date/Time: Dec 2, 5:00pm CET Title: Signal Processing on Graphs and Complexes #graphsignalprocessing Follow us and check out https://t.co/WufbLfBUwT to register!

Excited to announce our next talk: Speaker: Antonio G. Marques @urjc Date/Time: Nov 18, 2:00pm CET Title: Connecting the dot: Leveraging GSP to learn graphs from nodal observations #graphsignalprocessing Follow us and check out https://t.co/WufbLfBUwT to register!

Announcing our next talk: Speaker: @gonchimateos Date/Time: Nov 16, *3:00pm* CET Title: Graph adjacency spectral embeddings: Algorithmic advances and applications #graphsignalprocessing #graphlearning Follow us and register at https://t.co/WufbLfkRuT!

[Article] Representing Deep Neural Networks Latent Space Geometries with Graphs Fully #openaccess @ https://t.co/4oUn6nZ6fT #graphsignalprocessing #deeplearning #robustness #compression #algorithms

How can graph signal processing be applied for an elegant and principled analysis of brain activity? Learn more at https://t.co/T2Jj6bgMNX. #graphsignalprocessing #graphtheory #signalprocessing

DEGAS webinar series is back for Fall 2024. The new season will begin on 9 Oct 2:00pm CET with @JhonyHGiraldo presenting "A Journey Through Graphs for Spatiotemporal Analysis". Check out https://t.co/PWFws3v6Zv for details. #graphsignalprocessing

[Article] Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering Full #openaccess https://t.co/w0Xvl4Ne82 #graphsignalprocessing #graphFouriertransform #approximategraphFouriertransform #divideandconquer #algorithms