Abstract is missing.
- The Roles of Symbols in Neural-Based AI: They Are Not What You Think!Daniel L. Silver, Tom M. Mitchell. 1-28 [doi]
- Neuro-Symbolic RDF and Description Logic Reasoners: The State-Of-The-Art and ChallengesGunjan Singh, Sumit Bhatia, Raghava Mutharaju. 29-63 [doi]
- Architectural Patterns for Neuro-Symbolic AIAnnette ten Teije, Frank van Harmelen. 64-76 [doi]
- Semantic Web Machine Learning Systems: An Analysis of System PatternsLaura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen. 77-99 [doi]
- Boolean Connectives and Deep Learning: Three InterpretationsMiguel Ángel Méndez Lucero, Vaishak Belle. 100-113 [doi]
- Constructivist Machine LearningThomas Schmid 0003. 114-124 [doi]
- Neural-Symbolic Interaction and Co-EvolvingBowen Tan, Shibo Hao, Eric P. Xing, Zhiting Hu. 125-152 [doi]
- Neuro-Causal ModelsBryon Aragam, Pradeep Ravikumar. 153-177 [doi]
- Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural ModelsFilip Ilievski, Kaixin Ma, Alessandro Oltramari, PeiFeng Wang, Jay Pujara. 178-209 [doi]
- Connectionist Neuroarchitectures in Cognition and Consciousness Theory Based on Integrative (Synchronization) MechanismsHarald Maurer. 210-234 [doi]
- Autodidactic and Coachable Neural ArchitecturesLoizos Michael. 235-248 [doi]
- The Neural Blackboard Theory of Neuro-Symbolic Processing: Logistics of Access, Connection Paths and Intrinsic StructuresFrank van der Velde. 249-271 [doi]
- Class Expression Learning with Multiple RepresentationsAxel-Cyrille Ngonga Ngomo, Caglar Demir, N'Dah Jean Kouagou, Stefan Heindorf, Nikolaos Karalis, Alexander Bigerl. 272-286 [doi]
- Embedding-Based First-Order Rule Learning in Large Knowledge GraphsPouya Ghiasnezhad Omran, Hong Wu, Zhe Wang, Kewen Wang 0001. 287-307 [doi]
- Lifted Relational Neural Networks: From Graphs to Deep Relational LearningGustav Sír, Filip Zelezný, Ondrej Kuzelka. 308-336 [doi]
- Discovering Visual Concepts and Rules in Convolutional Neural NetworksJoe Townsend, Esma Mansouri-Benssassi, Kwun Ho Ngan, Artur d'Avila Garcez. 337-372 [doi]
- Approximate Answering of Graph QueriesMichael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin 0001, Pasquale Minervini, Mathias Niepert, Hongyu Ren. 373-386 [doi]
- Enhancing Case-Based Reasoning with Neural NetworksDavid Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall. 387-409 [doi]
- Neuro-Symbolic Spatio-Temporal ReasoningJae Hee Lee 0001, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter. 410-429 [doi]
- Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output SpacesYatin Nandwani, Parag Mausam Singla. 430-459 [doi]
- Neuro-Symbolic Semantic Learning for ChemistryMartin Glauer, Till Mossakowski, Fabian Neuhaus, Adel Memariani, Janna Hastings. 460-484 [doi]
- Semantic Loss Functions for Neuro-Symbolic Structured PredictionKareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck. 485-505 [doi]
- Combining Symbolic and Deep Learning Approaches for Sentiment AnalysisShamsuddeen Hassan Muhammad, Pavel Brazdil, Alípio Jorge. 506-521 [doi]
- Few-Shot Continual Learning Based on Vector Symbolic ArchitecturesGeethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi. 522-546 [doi]
- Learning Logic Explanations by Neural NetworksGabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci. 547-558 [doi]
- Combining Sub-Symbolic and Symbolic Methods for ExplainabilityAnna Himmelhuber, Stephan Grimm, Mitchell Joblin, Sonja Zillner, Thomas A. Runkler. 559-576 [doi]
- Explaining CNNs Using Knowledge Extraction and Graph AnalysisVitor A. C. Horta, Alessandra Mileo. 577-608 [doi]
- Effective Reasoning over Neural Networks Using Łukasiewicz LogicSandro Preto, Marcelo Finger. 609-630 [doi]
- Latent Trees for Compositional GeneralizationJonathan Herzig, Jonathan Berant, Ben Bogin. 631-664 [doi]
- Weakly Supervised Reasoning by Neuro-Symbolic ApproachesXianggen Liu, Zhengdong Lu, Lili Mou. 665-692 [doi]