The paper proposes LTLZinc, a generator of relational-temporal sequence classification benchmarks, and shows that current neuro-symbolic methods degrade when temporal and relational reasoning are combined.
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A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
The paper proposes LTLZinc, a generator of relational-temporal sequence classification benchmarks, and shows that current neuro-symbolic methods degrade when temporal and relational reasoning are combined.