Imagen de Portada

Predictive Process Monitoring Using Object-centric Graph Embeddings

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gherissi, Wissam, Acheli, Mehdi, Haddad, Joyce El, Grigori, Daniela
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Mining a Minimal Set of Behavioral Patterns using Incremental Evaluation
por: Acheli, Mehdi, et al.
Publicado: (2024)

Motivation is Something You Need
por: Acheli, Mehdi, et al.
Publicado: (2026)

Hyperbolic Graph Embeddings: a Survey and an Evaluation on Anomaly Detection
por: Sadat, Souhail Abdelmouaiz, et al.
Publicado: (2025)

Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
por: Armenta-Segura, Jesús, et al.
Publicado: (2024)

Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
por: Lischka, Attila, et al.
Publicado: (2025)

Graph Autoencoder for Process Monitoring
por: Zhang, Xiangrui
Publicado: (2026)

Object-centric Denoising Diffusion Models for Physical Reasoning
por: Lange, Moritz, et al.
Publicado: (2025)

DORSal: Diffusion for Object-centric Representations of Scenes et al
por: Jabri, Allan, et al.
Publicado: (2023)

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
por: Chowdhury, Koyena, et al.
Publicado: (2025)

An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
por: Zare, Hadi, et al.
Publicado: (2025)

Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
por: Kim, So Yeon, et al.
Publicado: (2024)

Data-centric Federated Graph Learning with Large Language Models
por: Yan, Bo, et al.
Publicado: (2025)

Framing AI System Benchmarking as a Learning Task: FlexBench and the Open MLPerf Dataset
por: Fursin, Grigori, et al.
Publicado: (2025)

Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology
por: Fernando, Jesseba, et al.
Publicado: (2026)

Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction
por: Kim, Minsang, et al.
Publicado: (2024)

Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions
por: Zheng, Wenjie, et al.
Publicado: (2022)

Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
por: Buliga, Andrei, et al.
Publicado: (2024)

Successes and Limitations of Object-centric Models at Compositional Generalisation
por: Montero, Milton L., et al.
Publicado: (2024)

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
por: Theodoropoulos, Christos, et al.
Publicado: (2024)

Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
por: Mehdiyev, Nijat, et al.
Publicado: (2023)

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
por: Elyasi, Keyvan Amiri, et al.
Publicado: (2024)

Croppable Knowledge Graph Embedding
por: Zhu, Yushan, et al.
Publicado: (2024)

Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations
por: Alain, Mathieu, et al.
Publicado: (2025)

RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
por: Mejri, Mohamed, et al.
Publicado: (2024)

SlotPi: Physics-informed Object-centric Reasoning Models
por: Li, Jian, et al.
Publicado: (2025)

Weakly Supervised Concept Learning for Object-centric Visual Reasoning
por: Tiwari, Sparsh, et al.
Publicado: (2026)

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
por: Lee, Jaejun, et al.
Publicado: (2024)

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
por: Chung, Chanyoung, et al.
Publicado: (2023)

A Comprehensive Data-centric Overview of Federated Graph Learning
por: Wu, Zhengyu, et al.
Publicado: (2025)

Embedding Knowledge Graph in Function Spaces
por: Teyou, Louis Mozart Kamdem, et al.
Publicado: (2024)

Knowledge Graph Embedding by Normalizing Flows
por: Xiao, Changyi, et al.
Publicado: (2024)

Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
por: Lee, Jaejun, et al.
Publicado: (2026)

Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction
por: Ge, Jingzhan, et al.
Publicado: (2026)

Transformer-Based Approach to Optimal Sensor Placement for Structural Health Monitoring of Probe Cards
por: Bejani, Mehdi, et al.
Publicado: (2025)

Deep Cut-informed Graph Embedding and Clustering
por: Ning, Zhiyuan, et al.
Publicado: (2025)

Embedding Knowledge Graphs in Degenerate Clifford Algebras
por: Teyou, Louis Mozart Kamdem, et al.
Publicado: (2024)

Fully Hyperbolic Rotation for Knowledge Graph Embedding
por: Liang, Qiuyu, et al.
Publicado: (2024)

Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning
por: Renault, Manon, et al.
Publicado: (2025)

Towards deployment-centric multimodal AI beyond vision and language
por: Liu, Xianyuan, et al.
Publicado: (2025)

Memorization Control in Diffusion Models from Denoising-centric Perspective
por: Vu, Thuy Phuong, et al.
Publicado: (2026)