• Suche: Graph Machine Learning

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Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0.
Zhang, Chao ; Jing, Yanzhen ; Zhou, Guanghui ; et al.
International Journal of Production Research. May2025, Vol. 63 Issue 9, p3175-3191. 17p.

SYSTEMS engineering GRAPH neural networks DEEP learning KNOWLEDGE graphs DETECTION algorithms
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2

Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Lefebvre, Félix ; Varoquaux, Gaël ; Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données (SODA) ; et al.
NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (California), United States

San Diego (California),... Feature learning Scalable Downstream tasks Knowledge graph [INFO.INFO-LG]Computer S... …
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3

Parkinson's disease detection on DaTscan images using Random Forest and Graph Deep Learning
Urien, Hélène ; Institut Supérieur d'Electronique de Paris (ISEP)
Eusipco 2025, Sep 2025, Palerme (Italie), Italy

Palerme (Italie), Italy Parkinson's disease DaTs... Parkinson's disease DaTscan Graph Deep Learning Random Forest …
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4

Using Knowledge Graphs to Measure and Characterize the Interpretability of Deep Learning Interpretations
Utilisation de graphes de connaissances pour mesurer et caractériser l’interprétabilité des interprétations de l’apprentissage profond
D’aquin, Mathieu ; Klochko, Liudmyla ; K team (Data Science, Knowledge, Reasoning and Engineering) ; et al.
HCAI Workshop, ACM CIKM, Nov 2025, Seoul (Korea), South Korea

Seoul (Korea), South Kor... knowledge-based interpre... mechanistic interpretabi... knowledge graphs evaluation [INFO]Computer Science [... …
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5

Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
Anca Muresan ; Mihaela Cardei ; Ionut Cardei
11

Artificial Intelligence At Risk Students Learning Analytics Technology Uses in Educa... Prediction Graphs …
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6

Multi-SPMiner: A Deep Learning Framework for Multi-Graph Frequent Pattern Mining with Application to spatiotemporal Graphs
Zeghina, Assaad Oussama ; Leborgne, Aurelie ; Le Ber, Florence ; et al.
27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023). :1094-1103

Athènes, Greece Multigraph, Graph Neural... [INFO.INFO-LG]Computer S... Machine Learning [cs.LG]
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7

LP-4P : Link Prediction over Annotated Knowledge Graphs with Four Patterns
Kieffer, Manoé ; Chabane, Hugo ; Serrano Alvarado, Patricia ; et al.
K-CAP '25: Knowledge Capture Conference 2025. :94-102

Dayton OH USA, United St... knowledge graph and pred... [INFO]Computer Science [...
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8

Interaction Graphs of Phytoplankton Species Interactions using Logical Learning
Eyraud, Madeleine ; Folschette, Maxime ; Inoue, Katsumi ; et al.
23rd International Conference on Computational Methods in Systems Biology (CMSB 2025). :276-296

Lyon, France Interaction Graphs Symbolic Learning Explainable Machine Lear... Marine Ecology Network Inference …
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9

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
Zhiqiang Zhong ; Anastasia Barkova ; Davide Mottin
Zhong, Z, Barkova, A & Mottin, D 2025, 'Knowledge-augmented Graph Machine Learning for Drug Discovery : A Survey', ACM Computing Surveys, vol. 57, no. 12, 302. https://doi.org/10.1145/3744237

Graph machine learning 0301 basic medicine FOS: Computer and inform... Computer Science - Machi... 0303 health sciences 03 medical and health sc... …
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10

Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing
Touat, Ousmane ; Brunon, Jezekael ; Belal, Yacine ; et al.
MIDDLEWARE '25: Proceedings of the 26th International Middleware Conference. :180-194

Nashville, TN, United St... Model Mixing Peer Sampling Membership Inference Att... Gossip Learning [INFO.INFO-LG]Computer S... …
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11

Graph-Based Deep Learning Models for Thermodynamic Property Prediction: The Interplay between Target Definition, Data Distribution, Featurization, and Model Architecture
Deng, Bowen ; Stuyver, Thijs ; Institute of Chemistry for Life and Health Sciences (iCLeHS) ; et al.
Journal of Chemical Information and Modeling, 2025, ⟨10.1021/acs.jcim.4c02014⟩

Graph-Based Deep Learnin... Graph-Based Deep Learnin... Data Distribution Featurization [CHIM]Chemical Sciences [INFO]Computer Science [...
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12

Pre-image Free Graph Machine Learning with Normalizing Flows
Glédel, Clément ; Gaüzère, Benoit ; Honeine, Paul ; et al.
Pattern Recognition Letters, In press, ⟨10.1016/j.patrec.2025.02.005⟩

Graph Normalizing Flow Pre-image problem Regression Classification Interpretability Nonlinear embedding …
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13

Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics
Roznowicz, Davide ; Stabile, Giovanni ; Demo, Nicola ; et al.
Advanced Modeling and Simulation in Engineering Sciences. 11(1):1-26

Computational fluid dyna... Graph machine learning External aerodynamics Large scale model 3D surrogate model [SPI]Engineering Science...
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14

Predicting redox potentials by graph‐based machine learning methods
Jia, Linlin ; Brémond, Éric ; Zaida, Larissa ; et al.
Journal of Computational Chemistry. 45(28):2383-2396

ORedOx159 database Redox potential predicti... graph-based machine lear... density functional theor... [CHIM.CHEM]Chemical Scie... Cheminformatics
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15

Leveraging Knowledge Graph to design the Machine-Learning Engineering Body-of-Knowledge
Mattioli, Juliette ; Tachet, Dominique ; Tschirhart, Fabien ; et al.
IEEE International Conference on Artificial Intelligence x Science, Engineering, and Technology (AIxSET), Sep 2024, Laguna hills, United States

Laguna hills, United Sta... Body of knowledge Knowledge graph Knowledge extraction Knowledge fusion Machine Learning …
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16

Short-Term Forecasting of Total Cloud Cover over the United States and the Texas Gulf Coast with Graph-Based Deep Learning
Kia, Hadi Zanganeh ; Choi, Yunsoo ; Islam, Rashik ; et al.
Earth Systems and Environment. :1-22

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17

Dual-Domain Self-Supervised Deep Learning with Graph Convolution for Low-Dose Computed Tomography Reconstruction
Yang, Feng ; Zhao, Feixiang ; Liu, Yanhua ; et al.
Journal of Imaging Informatics in Medicine. 38(6):4226-4242

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19

A Graph-based Deep Learning Model with Multimodal Fusion for Vietnamese Recommendation Systems
Nguyen, Xuan-Bach ; Le, Hoang-Quynh
The Review of Socionetwork Strategies. 19(2):163-182

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20

Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
Romano, Salvatore ; Grassia, Marco ; Mangioni, Giuseppe

Machine Learning Artificial Intelligence Physics and Society
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