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43 results about "Community member" patented technology

Blockchain-based open source community code contribution excitation method and device

The invention discloses an open source community code contribution excitation method and device based on a block chain, and is used for solving the problems that an existing open source community management mode is not beneficial to motivating the sharing enthusiasm of community parts and promoting the vigorous development of an open source community. The method comprises the following steps: receiving open source related data submitted by a contributor and an expected influence factor specified by the contributor for the open source related data through a blockchain network; according to a preset contribution excitation standard in the blockchain network, determining an auditing result of the auditor for the open source related data, the preset contribution excitation standard representing a corresponding relationship among the open source related data, a standard influence factor and an excitation resource; and processing the auditing result. According to the method, the contributionenthusiasm of contributors can be stimulated based on fair and fair preset contribution incentive standards, the authenticity of related data of auditing results is ensured, and the legitimate interests of the contributors are maintained.
Owner:INSPUR ARTIFICIAL INTELLIGENCE RES INST CO LTD SHANDONG CHINA

Interactive community search method and device based on graph neural network

The invention discloses an interactive community search method and device based on a graph neural network. The interactive community search method comprises the following steps: constructing a given candidate sub-graph GS according to a query node and a mark node of a user; constructing a graph neural network model M through a given candidate sub-graph GS; carrying out convergence on the graph neural network model M to obtain a graph neural network score of each node, and updating a given candidate sub-graph according to the graph neural network scores; and selecting a final target community according to the updated given candidate sub-graph and the set community size k. According to the method, a target community is positioned through a sub-graph dynamically collected in an online network, a community member relationship problem is reconstructed into a node classification problem by using a graph neural network, and a community with the size of k is introduced to describe the target community. According to the method, the similarity and the difference between the graph nodes and the annotation nodes can be captured by flexibly combining content and structural features, a community with high accuracy and accurate size is searched in an iteration and interaction mode, and the burden of a user is reduced by utilizing sorting loss.
Owner:PEKING UNIV
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