| 2021 | A New Concept for Explaining Graph Neural Networks. | Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler |
| 2021 | Neuro-Symbolic Constraint Programming for Structured Prediction. | Paolo Dragone, Stefano Teso, Andrea Passerini |
| 2021 | RecT: A Recursive Transformer Architecture for Generalizable Mathematical Reasoning. | Rohan Deshpande, Jerry Chen, Isabelle Lee |
| 2021 | pix2rule: End-to-end Neuro-symbolic Rule Learning. | Nuri Cingillioglu, Alessandra Russo |
| 2021 | Using Neural Networks to Control Glut in the Active Logic Machine. | Justin D. Brody, Bobby Austin, Omar Khater, Christopher Maxey, Matthew D. Goldberg, Timothy Clausner, Darsana Josyula, Don Perlis |
| 2021 | Backpropagating through Markov Logic Networks. | Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt |
| 2021 | Extending Real Logic with Aggregate Functions. | Samy Badreddine, Michael Spranger |
| 2021 | Zero-shot Multi-Domain Dialog State Tracking Using Prescriptive Rules. | Edgar Altszyler, Pablo Brusco, Nikoletta Basiou, John Byrnes, Dimitra Vergyri |
| 2019 | Revisiting Neural-Symbolic Learning Cycle. | Martin Svatos, Gustav Sourek, Filip Zelezn |
| 2019 | One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis. | Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul |
| 2019 | Scaling up relational templated neural models. | Gustav Sourek, Filip Zelezn, Ondrej Kuzelka |
| 2019 | Using neural models to perform inference. | Felipe de Souza Salvatore, Sandro Preto, Marcelo Finger, Roberto Hirata Jr. |
| 2019 | Tensor Product Representations of Subregular Formal Languages. | Jonathan Rawski |
| 2019 | Neuro-Symbolic = Neural + Logical + Probabilistic. | Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig |
| 2019 | Efficient Predicate Invention using Shared NeMuS. | Edjard Mota, Jacob M. Howe, Ana Schramm, Artur S. d'Avila Garcez |
| 2019 | Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. | Mrcio Ferreira Moreno, Daniel Civitarese, Rafael Brando, Renato Cerqueira |
| 2019 | T-PRISM: A tensorized logic programming language for data modelling. | Ryosuke Kojima, Taisuke Sato |
| 2019 | Local ABox Consistency Prediction with Transparent TBoxes Using Gated Graph Neural Networks. | Yu Gu, Jeff Z. Pan, Gong Cheng, Heiko Paulheim, Giorgos Stoilos |
| 2019 | Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. | Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktschel, Jun Wang, Matko Bosnjak |
| 2019 | Deep Semantics for Explainable Visuospatial Intelligence: Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features. | Mehul Bhatt, Jakob Suchan, Srikrishna Varadarajan |
| 2019 | Towards Explainable Neural-Symbolic Visual Reasoning. | Adrien Bennetot, Jean-Luc Laurent, Raja Chatila, Natalia Daz Rodrguez |
| 2019 | Self-Organized Inductive Reasoning with NeMuS. | Leonardo Augusto Picano Barreto, Edjard Mota |
| 2019 | Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. | Samy Badreddine, Michael Spranger |
| 2017 | Learning with Knowledge Graphs. | Volker Tresp, Yunpu Ma, Stephan Baier |
| 2017 | Learning about Actions and Events in Shared NeMuS. | Milena Rodrigues Tenorio, Edjard de Souza Mota, Jacob M. Howe, Artur S. d'Avila Garcez |