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Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski and Eftim Zdravevski
With the exponential growth of data, extracting actionable insights becomes resource-intensive. In many organizations, normalized relational databases store a significant portion of this data, where tables are interconnected through some relations. This ...
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Xin Tian and Yuan Meng
Multi-relational graph neural networks (GNNs) have found widespread application in tasks involving enhancing knowledge representation and knowledge graph (KG) reasoning. However, existing multi-relational GNNs still face limitations in modeling the excha...
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Asmaa Al-Mohannadi, Mark David Major, Raffaello Furlan, Rashid Saad Al-Matwi and Rima J. Isaifan
Housing is a basic human need and a fundamental component of settlement status. The architectural form and spatial provisions of housing evolve in line with?and transform to meet?a specific era?s needs. Globalization has been responsible for changing the...
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Yaqin Zhu, Xuhang Li, Zijian Wang, Jiayong Li, Cairong Yan and Yanting Zhang
In recent years, joint entity?relation extraction (ERE) models have become a hot research topic in natural language processing (NLP). Several studies have proposed a span-based ERE framework, which utilizes simple span embeddings for entity and relation ...
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Wojciech Sroka, Piotr Sulewski, Jaroslaw Mikolajczyk and Karol Król
This study aims to identify the success factors and main barriers and threats to developing peri-urban farms implementing various business models. For that purpose, a survey was conducted among a group of Polish farms located in the areas surrounding the...
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Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu and Pengyu Hong
This work considers the task of representation learning on the attributed relational graph (ARG). Both the nodes and edges in an ARG are associated with attributes/features allowing ARGs to encode rich structural information widely observed in real appli...
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Haoming Liang, Jinze Du, Hongchen Zhang, Bing Han and Yan Ma
Recently, few-shot learning has attracted significant attention in the field of video action recognition, owing to its data-efficient learning paradigm. Despite the encouraging progress, identifying ways to further improve the few-shot learning performan...
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Ziren Gao, Yi Shen, Jingsong Ma, Jie Shen and Jing Zheng
The comprehensive expression of indoor maps directly affects the visualization effect of the map and the user?s map reading experience. Currently, only the points, lines, and polygons of outdoor maps are used as objects of cartographic generalization. Th...
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Chengmin Zhou, Lansong Jiang and Jake Kaner
This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research?a review of the subject background and applications of Kansei engineering and gr...
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Jaskaran Gill, Madhu Chetty, Suryani Lim and Jennifer Hallinan
Relation extraction from biological publications plays a pivotal role in accelerating scientific discovery and advancing medical research. While vast amounts of this knowledge is stored within the published literature, extracting it manually from this co...
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