Top Tweets for #GraphSignalProcessing
Three days of cutting-edge research, collaboration, and innovation at #GSP2026. Proud to share our latest work on #GNNs, routing, and graph optimization.
https://t.co/041fvTCw7p
#GTIEvents #GraphSignalProcessing #MachineLearning #URJC #ELLIS @La_UPM @telecoupm
๐๏ธ ERG-Graph hits 0.91 balanced accuracy for ASD detection and lifts three-group classification by 11 points using graph-theoretic retinal biomarkers.
๐ https://t.co/4zssPjOb5I
theoretic retinal biomarkers. #AutismResearch #Electroretinogram #GraphSignalProcessing
Great work by my student Chenyue & Anthony's student Shangyuan! #graphsignalprocessing
ICASSP 2025 Best Student Paper Award: "Network Games Induced Prior for Graph Topology Learning" by Chenyue Zhang, Shangyuan LIU, Hoi-To Wai, Anthony Man-Cho So: https://t.co/7FItGsoUN3
๐ You donโt want to miss Dr. @Yuzhou_Chang's #PIIO Research-in-Progress seminar, 10AM, Nov. 1 at EAIC 130! Heโll discuss how #GraphSignalProcessing is bridging the gap between #SpatialOmics technologies and real-world applications. ๐งฌ Join us to explore why #SpatialOmics is revolutionizing our understanding of complex tissue environments!
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
The DEGAS webinar series will be broadcasting the plenary talks from GSP workshop 2024 https://t.co/7Aft8bNkTx in June 24-26. #graphsignalprocessing Follow us on https://t.co/WufbLfkRuT.
Looking for a reliable dataset for your research on graph signal processing? Check out the GSP-Traffic Dataset, featuring:
Real networks
Graph signals generated by SUMO
Data for 465 cities worldwide
Your feedback is welcome!
https://t.co/otLbFFAS88
#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
Kernelized multiview signed graph learning for single-cell RNA sequencing data. #GeneRegulatoryNetworks #SingleCells #GraphSignalProcessing #Bioinformatics @BMCBioinfo
https://t.co/K3L4ECZwgk
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!
Announcing our next talk:
Speaker: @BorgnatPierre (CNRS)
Date/Time: Mar 15, *3:00pm* CET
Title: Learning distances for attributed graphs with optimal transport #graphsignalprocessing
Follow us at https://t.co/WufbLfkjFl!
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!
๐ฅIEICE Transactions on Fundamentals๐ฅ
Jan. issue 2023 ๐
โLearning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fieldsโ๐
Tatsuya KOYAKUMARU, Masahiro YUKAWA, Eduardo PAVEZ, Antonio ORTEGA ๐
https://t.co/iQGAyC7crj
#graphsignalprocessing
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!
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!
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!
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!
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!
It's happening tomorrow! Looking forward to talk about the future of #graphsignalprocessing with @elpenta @ychtanaka and others~
Join us at the "Future of Graph Signal Processing" on 7/24 (Sat), 9:00-10:30am (GMT+8)!
Happy to share our new work on #GraphSignalProcessing for #neuroimaging ! We combine a structural connectome from HCP and rsfMRI using Graph Fourier Transform and machine learning, and show the potential on the ABIDE dataset https://t.co/Zf2FxfOd50
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