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Interpretable Neural-Symbolic Concept Reasoning.

, , , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1801-1825. PMLR, (2023)

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Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis., , , , and . CoRR, (2022)Predictable Features Elimination: An Unsupervised Approach to Feature Selection., , and . LOD, volume 13163 of Lecture Notes in Computer Science, page 399-412. Springer, (2021)Interpretable Neural-Symbolic Concept Reasoning., , , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1801-1825. PMLR, (2023)Self-supervised Interpretable Concept-based Models for Text Classification., , , , , and . CoRR, (2024)Discovering Hierarchical Neural Archetype Sets., , , , and . IIH-MSP (1), volume 81 of Smart Innovation, Systems and Technologies, page 255-267. Springer, (2017)Concept Embedding Models., , , , , , , , , and 2 other author(s). CoRR, (2022)GCI: A (G)raph (C)oncept (I)nterpretation Framework., , , , , and . CoRR, (2023)LENs: a Python library for Logic Explained Networks., , , and . CoRR, (2021)Interpretable Neural-Symbolic Concept Reasoning., , , , , , , , , and . NeSy, volume 3432 of CEUR Workshop Proceedings, page 422-423. CEUR-WS.org, (2023)Entropy-Based Logic Explanations of Neural Networks., , , , , and . AAAI, page 6046-6054. AAAI Press, (2022)