A Logical Approach to Discrete Math a book for programming logics

Logical Link Control Protocol Technical Specification

离线安装包，亲测可用

The tests in this specification verify that the Logical Layer of Router in a Router Assembly is compliant with the USB4 Specification. If the Router Assembly contains one or more On-Board Re-timers, additional tests verify that the Logical Layer of the Re-timer(s) in the Router Assembly are compliant the USB4 Re-timer Specification.

The tests in this specification verify that the Logical Layer of Router in a Router Assembly is compliant with the USB Specification. If the Router Assembly contains one or more On-Board Re-timers, additional tests verify that the Logical Layer of the Re-timer(s) in the Router Assembly are compliant the USB4 Re-timer Specification.

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渣打银行Logical测试题含答案评析Logical

Learning low-dimensional embeddings of knowledge graphs is a powerful approach used to predict unobserved or missing edges between entities. However, an open challenge in this area is developing techniques that can go beyond simple edge prediction and handle more complex logical queries, which might involve multiple unobserved edges, entities, and variables. For instance, given an incomplete biological knowledge graph, we might want to predict what drugs are likely to target proteins involved with both diseases X and Y?—a query that requires reasoning about all possible proteins that might interact with diseases X and Y. Here we introduce a framework to efficiently make predictions about conjunctive logical queries—a flexible but tractable subset of first-order logic—on incomplete knowledge graphs. In our approach, we embed graph nodes in a low-dimensional space and represent logical operators as learned geometric operations (e.g., translation, rotation) in this embedding space. By performing logical operations within a low-dimensional embedding space, our approach achieves a time complexity that is linear in the number of query variables, compared to the exponential complexity required by a naive enumeration-based approach. We demonstrate the utility of this framework in two application studies on real-world datasets with millions of relations: predicting logical relationships in a network of drug-gene-disease interactions and in a graph-based representation of social interactions derived from a popular web forum.

刚考了TalentQ的试题。分享一下logical的。相信我保你可以拿高分