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disputation    音标拼音: [dɪspj'ut'eʃən]
n. 争论,议论,驳斥

争论,议论,驳斥

disputation
n 1: the formal presentation of a stated proposition and the
opposition to it (usually followed by a vote) [synonym:
{debate}, {disputation}, {public debate}]
2: a contentious speech act; a dispute where there is strong
disagreement; "they were involved in a violent argument"
[synonym: {controversy}, {contention}, {contestation},
{disputation}, {disceptation}, {tilt}, {argument}, {arguing}]


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英文字典中文字典相关资料:


  • Graph neural network based on graph kernel: A survey
    We describe a novel graph neural network method based on graph kernel We summarize the models in terms of expressiveness, performance, and application We organize classification experiments to illustrate the advantages of this method We summarize and envision future research directions
  • Graph neural network based on graph kernel: : A survey: Pattern . . .
    We describe a novel graph neural network method based on graph kernel We summarize the models in terms of expressiveness, performance, and application We organize classification experiments to illustrate the advantages of this method We summarize and envision future research directions
  • Graph neural network based on graph kernel: A survey
    We describe a novel graph neural network method based on graph kernel We summarize the models in terms of expressiveness, performance, and application We organize classification experiments to illustrate the advantages of this method We summarize and envision future research directions
  • Graph neural network based on graph kernel: A survey
    To address the limitations of existing graph kernel and GNN methods, in this paper, we propose a novel GNN framework, termed Kernel Graph Neural Networks (KerGNNs), which integrates
  • Graph neural network based on graph kernel: A survey . . .
    We analyze the complementarity between graph kernel and graph neural network We describe a novel graph neural network method based on graph kernel We summarize the models in terms of expressiveness, performance, and application We organize classification experiments to illustrate the advantages of this method We summarize and envision future
  • GitHub - bigdata-graph GNN_GK: Graph neural network based on graph kernel
    We refer to other review collation methods and provide relevant GitHub to facilitate readers' access to recent graph neural network model based on graph kernel papers and open source code
  • Graph Kernel Neural Networks - arXiv. org
    In this paper, we propose a neural architecture that bridges the two worlds of graph kernels and GNNs
  • Graph Kernel Neural Networks - arXiv. org
    In this paper, we propose a neural architecture that bridges the two worlds of graph kernels and GNNs
  • Graph neural network based on graph kernel: A survey
    Article "Graph neural network based on graph kernel: A survey" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST")
  • A Survey on Graph Neural Networks - IEEE Xplore
    Graph Neural Networks (GNNs) have emerged as a fundamental class of models for analyzing graph-structured data, with broad applications spanning social networks, computational neuroscience, and intelligent transportation systems





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