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Generation of Explanations for Logic Reasoning
This thesis delves into a fortiori arguments in deductive reasoning, underscoring their relevance in various domains such as law, philosophy, and artificial intelligence.
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Dynamic Graph Neural Networks (DGNNs) have emerged as the predominant approach for processing dynamic graph-structured data.
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