Biography
Dr. Kalinowski's research and teaching specializations include knowledge graphs, natural language processing and deep learning.
Research Interests
Natural language processing, deep learning, TDA, semantics and ontology learning
Select Publications
- Kalinowski, A. & An, Y. (2024). Representing Knowledge Graph Triples Through Siamese Line Graph Sampling. International Joint Conference on Neural Networks (IJCNN), co-located with IEEE World Congress on Computational Intelligence.
- Kalinowski, A. & Datta,D. & An,Y. (2023). A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport. IEEE Big Data 2023.
- Kalinowski, A., & An, Y. (2022). Repurposing Knowledge Graph Embeddings for Triple Repre- sentation via Weak Supervision. 2022 Third International Conference on Intelligent Data Science Technologies and Applications (IDSTA). Best Paper Award.