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Design of Variable Polynomial Graph Filter Using Fractional-Order Graph Laplacian Matrix

2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE), 2023
A polynomial graph filter is one of the widely used systems for processing irregular data collected from various complex networks. To increase the flexibility of the conventional constant graph filter in use which has a fixed spectral response, a more ...
C. Tseng, Su-Ling Lee
semanticscholar   +1 more source

Predicting TOC from Well Logs Based on Deep Spatial-Sequential Graph Convolutional Network

Geophysics, 2023
The total organic carbon (TOC) is a key geologic parameter for unconventional reservoirs. Conventional empirical Δ Log R methods cannot handle the nonlinear relationships between the characteristics of TOC and its well-log responses.
Xiaocai Shan   +5 more
semanticscholar   +1 more source

Logical Design of Graph Databases from an Entity-Relationship Conceptual Model

International Conference on Information Integration and Web-based Applications & Services, 2018
NoSQL database models and data store systems have emerged in response to the needs of new big data applications. A common feature of these logical models is the schemaless property that promotes flexibility in data organization.
Victor Martins de Sousa, L. Cura
semanticscholar   +1 more source

Cartography Is Here.

, 2021
In late June 2019, I received an email from Chris McDowall, a good friend and geographer at heart, saying: ‘And the atlas...Ohman. This has been so stressful and I’ve tied myself up in all sorts of knots over it.
Igor Drecki
semanticscholar   +1 more source

Research on Multi-hop Intelligent Question Answering Reasoning Methods Based on Knowledge Graphs

IEEE International Conference on Software Quality, Reliability and Security Companion
In response to the challenge of capturing the structural and semantic information embedded in relation paths in complex multi-hop knowledge reasoning questions, this paper introduces a novel Knowledge Graph Re-ranking Relation Path Network model (KG ...
Yingxia Yu, Yajing Ma, G. Altenbek
semanticscholar   +1 more source

Improving Question Answering Systems Using Knowledge Graph Integration and NLP Techniques

2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
QA systems have become the best-sought-after for correct and context-relevant information in one or the other domain of interest. Nevertheless, such systems have some drawbacks, for example they experience difficulties in solving multilevel queries ...
C. Reddy   +4 more
semanticscholar   +1 more source

MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations

Journal of Chemical Information and Modeling
In drug discovery, accurately predicting molecular activity is crucial for identifying and optimizing molecules with desirable biological properties. A significant challenge in this field is the phenomenon of activity cliffs, where molecules with similar
Yiwei Chen   +9 more
semanticscholar   +1 more source

CogLign: Interpretable Text Sentiment Determination by Aligning Cognition Between EEG-Derived Brain Graph and Text-Derived Knowledge Graph

IEEE Transactions on Knowledge and Data Engineering
Nowadays, detecting sentiment or emotion from user generated texts has been intensively studied in natural language understanding, especially via neural-based models based on text representation.
Huan Rong   +4 more
semanticscholar   +1 more source

A QUALITATIVE STUDY OF PRACTITIONER PERSPECTIVES ON THE DESIGN AND DEVELOPMENT OF EFFECTIVE GAME-BASED LEARNING SOLUTIONS

EDULEARN19 Proceedings, 2019
This paper presents the findings of a study of Game-Based Learning (GBL) practitioners (N=12). The practitioners, who were a mix of academics, researchers and industry practitioners with experience of GBL research and / or implementation, were asked open
Larkin Cunningham, Órla Murphy
semanticscholar   +1 more source

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