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Özel Aralık Girişi
Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders
2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020, ISSN: 2165-0608
KESER REYHAN KEVSER,ÇALIK NURULLAH,TÖREYİN BEHÇET UĞUR
Reyhan Kevser Keser Tam metin bildiri Graph Embedding Variational Graph Autoencoders Residual Learning
A Feature Selection Method via Graph Embedding and Global Sensitivity Analysis
IEEE Geoscience and Remote Sensing Letters, Vol. 19, Ocak 2022, ISSN: 1545-598X
TAŞKIN KAYA GÜLŞEN
Gülşen Taşkın Kaya Özgün Makale
Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders
2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020
KESER REYHAN KEVSER, NALLBANİ İNDRİT, ÇALIK NURULLAH, AYANZADEH AYDİN, TÖREYİN BEHÇET UĞUR
Reyhan Kevser Keser Tam metin bildiri
Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders
2020 28th Signal Processing and Communications Applications Conference (SIU), Gaziantep/TÜRKİYE, 5 Ekim 2020
KESER REYHAN KEVSER, NALLBANİ INDRİT, ÇALIK NURULLAH, AYANZADEH AYDIN, TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
A Comparison of Different Embedding Methods on Session Based Recommendation with Graph Neural Networks
11th International Conference of Pattern Recognition Systems (ICPRS 2021), 17 Mayıs 2021
AKER MUSTAFA, YILDIZ ÇAĞRI EMRE, YASLAN YUSUF
Yusuf Yaslan Tam metin bildiri
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, Ocak 2022, ISSN: 0196-2892
TAŞKIN KAYA GÜLŞEN, CAMPS-VALLS GUSTAU
Gülşen Taşkın Kaya Özgün Makale Hyperspectral imaging Manifold learning Germanium Manifolds Kernel Laplace equations Eigenvalues and eigenfunctions Dimensionality reduction (DR) feature extraction hyperspectral image (HSI) classification manifold learning manifold out-of-sample (OOS) problem

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