What If London Bridge Is Closed? Feature-Aware Subgraph Augmentation for Modeling Road Network Structure Changes
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 26, No. 11, Eylül 2025, s. 21135-21148, ISSN: 15249050
ÖZKAN MUSTAFA CAN,CHENG TAO,ZHANG XİANGHUİ,FANG MENG
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Enriching Demand Prediction with Product Relationship Information using Graph Neural Networks
ASONAM 2021, 8 Kasım 2021
YILMAZ YAREN, ÖĞÜDÜCÜ ŞULE
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Reproducibility of graph neural networks in multiview brain connectivity
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
HIZIR CAN BAYRAM
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BRIDGING CAUSAL DISCOVERY AND GRAPH NEURAL NETWORKS: A COMPARATIVE PERSPECTIVE
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
MUHAMMED ÖMER TAYLAN
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Composing Frankensteins: Data-driven design assemblies through graph-based deep neural networks
107th ACSA Conference, Pittsburgh/AMERİKA BİRLEŞİK DEVLETLERİ, 28 Mart 2019
AS İMDAT, PAL SİDDARTH, BASU PRİTHWİSH
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Graph neural network based unsupervised influential sample selection for brain multigraph population fusion
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, Vol. 108, Ocak 2023, s. 16, ISSN: 0895-6111
KURUCU MERT CAN,REKIK ISLEM
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Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius/LİTVANYA, 9 Eylül 2024
BAŞ SÜMEYYE,KAYA ÜNAL KIYMET,TUGAY RESUL,ÖĞÜDÜCÜ ŞULE
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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
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Predicting vulnerability inducing function versions using node embeddings and graph neural networks
Information and Software Technology, Vol. 145, Mayıs 2022, ISSN: 0950-5849
ŞAHİN SEFA EREN, ÖZYEDİERLER ECEM MİNE, TOSUN KÜHN AYŞE
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RepNet for Quantifying the Reproducibility of Graph Neural Networks in Multiview Brain Connectivity Biomarker Discovery
International Workshop on PRedictive Intelligence In Medicine (PRIME 2023), vencouver/KANADA, 8 Ekim 2023
BAYRAM HIZIR CAN, ÇELEBİ MUSTAFA SERDAR, REKIK ISLEM
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Leveraging graph-based neural networks for enhancing earlystage screening of construction projects: GraphSAGE model
PROCEEDINGS OF THE 4th INTERNATIONAL CIVIL ENGINEERING & ARCHITECTURE CONFERENCE, Trabzon/TÜRKİYE, 17 Mayıs 2025, s. 1623-1629
MOSTOFİ FATEMEH,TOKDEMİR ONUR BEHZAT,TOĞAN VEDAT
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Spatio-temporal data fusion for adversarially resilient graph neural networks in construction progress management
Advanced Engineering Informatics, Vol. 69, Ocak 2026, ISSN: 1474-0346
MOSTOFİ FATEMEH,TOĞAN VEDAT,TOKDEMİR ONUR BEHZAT
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Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
ECML PKDD 2024, 21st MLG Workhop, 9 Eylül 2024
BAŞ SÜMEYYE,KAYA ÜNAL KIYMET,TUGAY RESUL,ÖĞÜDÜCÜ ŞULE
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