相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Computer Science, Artificial Intelligence
Riccardo Galanti et al.
Summary: Object-centric processes are implementations where instances of processes interact with each other through data exchange. The complex associations between process instances pose challenges for predictive analytics. This paper proposes an approach to incorporate object interactions into predictive models and evaluates its effectiveness using real-life data.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Biochemical Research Methods
Hehuan Ma et al.
Summary: This study explores a multi-view modeling approach (MVGNN) for molecular property prediction using graph neural networks (GNN). The approach considers both atom and bond information to provide more accurate predictions. The model's expressive power is enhanced through a cross-dependent message-passing scheme. Experimental results demonstrate that this approach outperforms state-of-the-art models on various benchmark tests.
Article
Computer Science, Artificial Intelligence
Ahmad Ali et al.
Summary: The study proposes a unified dynamic deep spatio-temporal neural network model for predicting crowd flows in different regions of a city. By combining the influences of different time granularities and external properties, the model shows exceptional performance in prediction accuracy, outperforming other methods.
Article
Automation & Control Systems
Kakuli Mishra et al.
Summary: The rapid integration of technology leads to the accumulation of high-dimensional time series data in multiple domains. The popularity of graph-based representation has grown over the years, as it facilitates mining, analysis, and visualization. However, existing graph-based representations suffer from information loss and limitations. To address these challenges, we propose a unique graph representation that works across multiple domains, allowing for clustering, temporal pattern extraction, and rare event discovery.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Automation & Control Systems
Kangsheng Li et al.
Summary: This article proposes an outlier detection method based on density-distance decision graph, which can detect local, global, and clustered outliers simultaneously. The method combines kernel density estimation and local reachable distance to calculate local density, density ratio, and density lift distance to determine the final outlier score.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Automation & Control Systems
Chongyang Ding et al.
Summary: This paper proposes a novel temporal segment graph convolutional networks (TS-GCN) for skeleton-based action recognition. The method divides the sequence into several subsequences and applies convolutional networks to capture dynamic information stage by stage, aligning the motion features in temporal domain. Additionally, a graph-adaptive method is introduced to construct individual graphs for each subsequence, increasing the generality of graph construction.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Automation & Control Systems
Qingyong Zhang et al.
Summary: This paper proposes an Improved Graph Convolution Res-Recurrent Network (IGCRRN) that utilizes uncertain spatio-temporal information for accurate traffic flow prediction. By combining the origin graph matrix and the data-generated embedding node matrix, a spatial dependence matrix is created, allowing the graph convolution block to infer and quantify spatial and temporal dependence in a data-driven manner. Experimental results on real traffic datasets demonstrate that the IGCRRN model outperforms baseline and state-of-the-art methods in prediction performance.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Software Engineering
Jan Niklas Adams et al.
Summary: ocpa is a Python library that supports object-centric process mining, allowing analysis of multiple interacting processes and providing functionalities such as process discovery and predictive process monitoring.
Article
Computer Science, Information Systems
Stefan Esser et al.
Summary: This paper introduces a general data model for multi-dimensional event data based on labeled property graphs, allowing storage of structural and temporal relations in a systematic way. By providing semantics and generic queries, it enables modeling of multiple entities in multi-dimensional event data.
JOURNAL ON DATA SEMANTICS
(2021)
Article
Computer Science, Artificial Intelligence
Zonghan Wu et al.
Summary: This article provides a comprehensive overview of graph neural networks (GNNs) in data mining and machine learning fields. It discusses the taxonomy of GNNs, their applications, and summarizes open-source codes, benchmark data sets, and model evaluation. The article also proposes potential research directions in this rapidly growing field.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
E. Gonzalez Lopez de Murillas et al.
KNOWLEDGE AND INFORMATION SYSTEMS
(2020)
Article
Computer Science, Software Engineering
Wil M. P. van der Aalst et al.
FUNDAMENTA INFORMATICAE
(2020)
Review
Computer Science, Artificial Intelligence
Adriano Augusto et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2019)
Review
Computer Science, Information Systems
Irene Teinemaa et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2019)
Article
Computer Science, Artificial Intelligence
HongYun Cai et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2018)
Article
Computer Science, Artificial Intelligence
Joerg Evermann et al.
DECISION SUPPORT SYSTEMS
(2017)
Article
Computer Science, Information Systems
Massimiliano de Leoni et al.
INFORMATION SYSTEMS
(2016)
Article
Computer Science, Information Systems
Viara Popova et al.
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS
(2015)
Article
Computer Science, Information Systems
Xixi Lu et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2015)
Article
Engineering, Industrial
H. ElMaraghy et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2009)
