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September 20, 2025

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge

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Authors

LLLuca Salvatore LorelloMLMarco LippiSMStefano Melacci

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Overview

New approach improves sequence classification by integrating temporal knowledge, highlighting implications for neuro-symbolic AI.

Key Points

  • Results show neuro-symbolic frameworks can improve sequence classification performance by incorporating temporal knowledge.
  • Extensive evaluation on a new benchmarking framework underscores challenges in adapting knowledge across timesteps.
  • Multi-stage neuro-symbolic architectures are compared against neural-only architectures to assess effectiveness.
  • Identifying limitations in current neuro-symbolic methods reveals opportunities for future development and refinement.

Cite This Study

Lorello et al. (2025) studied this question.

synapsesocial.com/papers/68d43913713b0b5dfea79174https://doi.org/10.24963/ijcai.2025/649
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