Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"higher-order relations"”.
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On the Expressiveness and Generalization of Hypergraph Neural Networks
… in reality sometimes goes beyond pairwise relations and can be complicated, involving multiple nodes. This requires the graph neural networks to be extended to hypergraphs to deal with higher-order relations. It is critical to understand what type of problems these hypergraph neural …
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Learning on Inhomogeneous Hypergraphs
… real-world applications the entities engage in higher-order relations. Such relations can be modeled by hypergraphs, where the notion of an edge is generalized to a hyperedge that can connect more than two vertices. Traditional hypergraph models treat all the vertices in a hyperedge equally …
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The Impact of Instrumentation Location and Reliability on the Performance of Operators Using an Ecological Interface for Process Control
… interfaces that advocates displaying the higher-order relations and properties of a work domain so that adaptive operator problem solving is better supported for both normal and abnormal system conditions. Moreover, EID argues that this information should be represented through graphical …
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Making probabilistic relational categories learnable
… schema that encourages learners to discover a higher-order relation that remains invariant over members of a category. Experiment 3 reinforced and further clarified the nature of this effect. Together, our findings suggest that people learn relational concepts by a process of intersection …
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Algorithms on graph-structured data with imperfect information
… data is able to characterize pairwise or even higher-order relations among different data points, and has been demonstrated to be highly advantageous in various data mining and machine learning applications. Such graph-structured data may either come from real life networks, or some …
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Few-Shot and Zero-Shot Learning for Information Extraction
… from the web. The second method explores the relations between seen classes and new classes. We propose a prompt-based model with semantic knowledge augmentation to recognize new relation triplets under the zero-shot setting. In this method, we transform the problem of zero-shot learning into …