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Alexander Kalinowski
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2020 – today
- 2024
- [c11]Alexander Kalinowski, Yuan An:
Representing Knowledge Graph Triples through Siamese Line Graph Sampling. IJCNN 2024: 1-8 - 2023
- [c10]Alexander Kalinowski, Deepayan Datta, Yuan An:
A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport. IEEE Big Data 2023: 383-392 - [i7]Yuan An, Jane Greenberg, Alexander Kalinowski, Xintong Zhao, Xiaohua Hu, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón:
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG). CoRR abs/2309.11361 (2023) - 2022
- [c9]Alexander Kalinowski, Yuan An:
Quantifying the Impact of Predicate Similarities on Knowledge Graph Triple Embeddings. AIC 2022: 107-119 - [c8]Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas
, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.:
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). IEEE Big Data 2022: 3651-3658 - [c7]Alexander Kalinowski, Yuan An:
Is There a Limit to the Utility of Analogy? A Case Study in Knowledge Graph Triple Representation. CSCI 2022: 349-355 - [c6]Alexander Kalinowski, Yuan An:
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision. IDSTA 2022: 129-137 - [c5]Xiao Fang, Alexander Kalinowski, Haoran Zhao, Ziao You, Yuhao Zhang, Yuan An:
Prompt Design and Answer Processing for Knowledge Base Construction from Pre-trained Language Models. LM-KBC@ISWC 2022: 55-66 - [c4]Yuan An, Alexander Kalinowski, Jane Greenberg:
Exploring Wasserstein distance across concept embeddings for ontology matching. OM@ISWC 2022: 13-24 - [i6]Yuan An, Jane Greenberg, Xintong Zhao, Xiaohua Hu, Scott McClellan, Alexander Kalinowski, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas
Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies. CoRR abs/2207.04502 (2022) - [i5]Yuan An, Alexander Kalinowski, Jane Greenberg:
Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching. CoRR abs/2207.11324 (2022) - [i4]Alexander Kalinowski, Yuan An:
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision. CoRR abs/2208.10328 (2022) - 2021
- [c3]Yuan An, Alexander Kalinowski, Jane Greenberg:
Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences. IDSTA 2021: 138-145 - [c2]Alexander Kalinowski, Yuan An:
Exploring Sentence Embedding Structures for Semantic Relation Extraction. IJCNN 2021: 1-7 - [c1]Yuan An, Alexander Kalinowski, Jane Greenberg:
OTMapOnto: optimal transport-based ontology matching. OM@ISWC 2021: 185-192 - [i3]Yuan An, Alexander Kalinowski, Jane Greenberg:
Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences. CoRR abs/2110.00697 (2021) - 2020
- [i2]Alexander Kalinowski, Yuan An:
A Comparative Study on Structural and Semantic Properties of Sentence Embeddings. CoRR abs/2009.11226 (2020) - [i1]Alexander Kalinowski, Yuan An:
A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs. CoRR abs/2010.13688 (2020)
Coauthor Index
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