Treffer 21 - 40 von 243.398

21

Integrating Temporal and Structural Context in Graph Transformers for Relational Deep Learning
Lachi, Divyansha ; Mohammadi, Mahmoud ; Meyer, Joe ; et al.

Machine Learning Artificial Intelligence
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22

Graph-based Tabular Deep Learning Should Learn Feature Interactions, Not Just Make Predictions
Dubbeldam, Elias ; Mohammadi, Reza ; Schoonhoven, Marit ; et al.

Machine Learning
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23

Financial asset price prediction with graph neural network-based temporal deep learning models
Uygun, Yasin ; Sefer, Emre
Neural Computing and Applications. 37(30):25445-25471

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24

Exploiting ftrace's function_graph Tracer Features for Machine Learning: A Case Study on Encryption Detection
Begovic, Kenan ; Al-Ali, Abdulaziz ; Malluhi, Qutaibah

Machine Learning Cryptography and Securit...
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25

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread
Napoli, Rosario ; Morabito, Gabriele ; Celesti, Antonio ; et al.

Machine Learning Artificial Intelligence 68T30, 68T01, 68T05, 68W... I.2.4; I.2.6; H.2.8; H.3...
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26

TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
Chmura, Jacob ; Huang, Shenyang ; Ngo, Tran Gia Bao ; et al.

Machine Learning Artificial Intelligence
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27

Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment
Garnier, Paul ; Jeken-Rico, Pablo ; Lannelongue, Vincent ; et al.

Machine Learning Fluid Dynamics
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28

Deep Learning on Real-World Graphs
Rossi, Emanuele

Machine Learning
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29

T3former: Temporal Graph Classification with Topological Machine Learning
Uddin, Md. Joshem ; Changani, Soham ; Coskunuzer, Baris
AAAI 2026 (Oral)

Machine Learning Social and Information N... Algebraic Topology 55N31, 68T07, 05C85 G.2.2; I.2.6
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30

SpaPool: Soft Partition Assignment Pooling for Graph Neural Networks
Govan, Rodrigue ; Scherrer, Romane ; Fournier-Viger, Philippe ; et al.
International Conference on Big Data Analytics and Knowledge Discovery. :332-340

Bangkok, Thailand attributed graphs neural networks graph pooling [STAT.ML]Statistics [sta... Machine Learning [stat.M...
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31

Machine Learning and Knowledge Graphs: Existing Gaps and Future Research Challenges
d'Amato, Claudia ; Mahon, Louis ; Monnin, Pierre ; et al.
Transactions on Graph Data and Knowledge. 1(1):1-35

Graph-based Learning Knowledge Graph Embeddin... Large Language Models Explainable AI Knowledge Graph Completi... [INFO.INFO-AI]Computer S...
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32

Leveraging ontology structure for machine learning in knowledge graphs
Mise en valeur des ontologies pour l'apprentissage automatique dans les graphes de connaissances

Butz, Elliot, Hugo ; Azé, Jérôme ; Todorov, Konstantin ; et al.
JOBIM 2024 - 24es Journées Ouvertes en Biologie, Informatique et Mathématiques, Jun 2024, Toulouse, France

Toulouse, France Ontology Gene Ontology Similarity measure Knowledge Graph Graph Completion
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33

Graph-Based Machine Learning Framework for Predicting Hydrogen Storage Capacity in Metal–Organic Frameworks
Alfarraj, Azzam ; Alfuraidan, Monther Rashed ; Peedikakkal, Abdul Malik P. ; et al.
Journal of Chemical Information and Modeling. 65(19):10093-10106

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34

Population-Graph Post-hoc Correction of Survival Predictions for Improved Risk Stratification
Thiery, Oriane ; Rizkallah, Mira ; Laribi, Hakima ; et al.
GRAIL/TMI/HGMIA@MICCAI. :195-208

Daejeon, South Korea Risk stratification Survival analysis Error passing network Population graph [INFO.INFO-AI]Computer S...
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35

Combining ChatGPT and knowledge graph for explainable machine learning-driven design: a case study.
Hu, Xin ; Liu, Ang ; Dai, Yun
Journal of Engineering Design. Jul-Sep2025, Vol. 36 Issue 7-9, p1479-1501. 23p.

HUMAN-computer interacti... ARTIFICIAL intelligence CHATGPT KNOWLEDGE graphs MACHINE learning DESIGN
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36

Cyberattack detection through GPML: Graph Processing for Machine Learning
Jaber, Majed ; Michel, Julien ; Boutry, Nicolas ; et al.
SoftwareX, 2025, 31, ⟨10.1016/j.softx.2025.102308⟩

[INFO.INFO-AI]Computer S... Artificial Intelligence...
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37

CG-Net: Urban Trajectory Forecasting with Bipartite Graphs for Agents, Scene Context and Candidate Centerlines
Bhowmik, Kaushik ; Spalanzani, Anne ; Martinet, Philippe ; et al.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. :1-7

Hangzhou, China Autonomous Vehicles Deep Learning Motion Forecasting [INFO.INFO-AI]Computer S... Artificial Intelligence...
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38

Ultra-Fast Machine Learning Inference through C Code Generation for Tangled Program Graphs
Desnos, Karol ; Bourgoin, Thomas ; Dardaillon, Mickael ; et al.
2022 IEEE Workshop on Signal Processing Systems (SiPS). :1-6

Rennes, France Artificial intelligence reinforcement learning embedded systems Tangled Program Graph machine learning
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39

QMGBP-DL: a deep learning and machine learning approach for quantum molecular graph band-gap prediction
Abbassi, Outhman ; Ziti, Soumia
Molecular Diversity. 29(4):3501-3515

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40

Accelerating Low‑k Dielectric Material Discovery: From Graph Machine Learning to Synthesis
Xi, Zhao-Chen ; Wang, Xin ; Wang, Chang-Hao ; et al.
ACS Applied Materials & Interfaces. 17(28):40743-40752

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