Grain lossMachine learningDecision treeKnowledge graphChina is an agricultural country. Agricultural production is an import part of the Chinese economic system. With the advent of the information age, plenty of data have been produced in a series of links about harvest and after-harvest, such as...
A standardized representation and sharing of crop disease and pest data is crucial for enhancing crop yields, especially in China, which features vast cultivation areas and complex agricultural ecosystems. A knowledge graph for crop diseases and pests, a
Graph of Thoughts: Solving Elaborate Problems with Large Language Models ETH, AAAI, 2024 [Paper] [Code] Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation BIT, ACL, 2024 [Paper] [Code] Buffer of Thoughts: Thought-Augmented Reasoning wit...
BMC Bioinformatics (2023) 24:488 https://doi.org/10.1186/s12859-023-05593-6 BMC Bioinformatics RESEARCH Open Access Advancing drug–target interaction prediction: a comprehensive graph‑based approach integrating knowledge graph embedding and ProtBert pretraining Warith Eddine Djeddi1,2*, ...
A knowledge graph (KG), a special form of semantic network, integrates fragmentary data into a graph to support knowledge processing and reasoning. KG quality control is important to the utility of KGs. It is essential to investigate KG quality and the parameters influencing KG quality to better...
Graph-based RAG models further enhance this capability by improving response accuracy through structured data retrieval. Benefits of AI Knowledge Base for Customer Support Implementing an AI Knowledge Base in customer support can offer a multitude of advantages, enhancing efficiency, accuracy, and ...
Bloemheuvel S, van den Hoogen J, Jozinović D et al (2022) Graph neural networks for multivariate time series regression with application to seismic data. Int J Data Sci Anal. https://doi.org/10.1007/s41060-022-00349-6 Article Google Scholar Bostrom A, Bagnall A (2017) Binary shapele...
Because GPDD is a topological algorithm, it generates terms by producing spanning trees of the circuit graph. Hence, it has the property of correspondence between a product terms and a combination of circuit elements. The elements forming a spanning tree must be on the circuit branches not ...
To generate the co-occurrence network we used Gephi (http://gephi.org/) an open source graph visualization software. Using the 190 CoSs calculated in our previously published study [101], we generated an adjacency matrix in a format consistent with Gephi requirements. Using Gephi, we generated...
A graph G\(_{\mathrm{1}}\) PaCE-entails a graph G\(_{\mathrm{2}}\) if every RDFS-PaCE interpretation that is a model of G\(_{\mathrm{1}}\) is also a model of G\(_{\mathrm{2}}\). All inferences that can be made using simple, RDF, or RDFS entailment are also PaCE ...