Temporal Knowledge Graphs (TKGs) incorporate temporal information to reflect the dynamic structural knowledge and evolutionary patterns of real-world facts. Nevertheless, TKGs are still limited in downstream applications due to the problem of incompleteness. Consequently, TKG completion (also known as link prediction) has been widely studied, with …

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In a rapidly evolving job market, skill demand forecasting is crucial as it enables policymakers and businesses to anticipate and adapt to changes, ensuring that workforce skills align with market needs, thereby enhancing productivity and competitiveness. Additionally, by identifying emerging skill requirements, it directs individuals towards relevant training and …

Open-vocabulary part segmentation (OVPS) is an emerging research area focused on segmenting fine-grained entities based on diverse and previously unseen vocabularies. Our study highlights the inherent complexities of part segmentation due to intricate boundaries and diverse granularity, reflecting the knowledge-based nature of part identification. To address …

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EXERCISE. What can this code print, and how many threads might run concurrently during its execution? It can print 1 2 3 in any order, running up to 4 concurrent threads. However, it will not print subsets of 1 2 3—it will always …

CS Spring Cone Crusher, researched and developed by SBM—a cone crusher manufacturer in China, takes the lamination crushing principle and the concept of crushing …

How to use granularity in a sentence? Antony Walker:. We are concerned that the granularity of the guidelines, would make New Zealands difficult for many companies particularly [ small and medium sized businesses ], to implement.. Arif Kamal:. The average person doesn't actually know the level of granularity that is helpful in accessing risk, when I talk to patients, what they'll say …

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Personalized Federated Continual Learning (PFCL) is a new practical scenario that poses greater challenges in sharing and personalizing knowledge. PFCL not only relies on knowledge fusion for server aggregation at the global spatial-temporal perspective but also needs model improvement for each client according to the local requirements. Existing methods, …

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Granularity is an integral feature of all temporal data. For instance, a person's age is commonly given to the granularity of years and the time of their next airline flight to the granularity of minutes. Indeterminacy, or don't know when information, is a companion to granularity.

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What's the definition of Granularity in thesaurus? Most related words/phrases with sentence examples define Granularity meaning and usage.

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Background Microservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application's quality attributes and usage of computational resources. Determining microservice granularity is an open research topic. Methodology We conducted a systematic literature review to analyze literature that addresses …

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A data warehousing granularity consists of a number of granularity layers of a star schema. The highest granularity star schema which contains the most detailed data is known as Level-0 . Level-1 is built on top of Level-0 star schemas, and Level-1 star schemas have a lower granularity of the fact measure (e.g. less detail data as the data is ...

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Heterogeneous collaborative computing with NPU and CPU has received widespread attention due to its substantial performance benefits. To ensure data confidentiality and integrity during computing, Trusted Execution Environments (TEE) is considered a promising solution because of its comparatively lower overhead. However, existing heterogeneous TEE …

Data granularity is important because it directly impacts the depth and precision of your data analysis. Finer granularity allows for a more detailed and nuanced analysis, while coarser granularity provides a broader, more generalized overview. Data granularity also influences data storage and processing.

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Replicating the innate human ability to detect all objects based on free-form texts at any granularity remains a formidable challenge for Large Vision Language Models (LVLMs). Current LVLMs are predominantly constrained to locate a single, pre-existing object. This limitation leads to a compromise in model design, necessitating the introduction of visual …

The study of time granularity in dynamic graphs has attracted increasing attention in recent years [33, 21]. The pioneering work of Holme and Saramäki [34] in 2012 initiated the exploration of graph time granularity, examining the trade-offs …

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