A Comparative Study on Structural and Semantic Properties of Sentence Embeddings. - Alexander Kalinowski; Yuan An (CoRR, 2020)

A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs. - Alexander Kalinowski; Yuan An (CoRR, 2020)

Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences. - Yuan An; Alexander Kalinowski; Jane Greenberg (IDSTA, 2021)

Exploring Sentence Embedding Structures for Semantic Relation Extraction. - Alexander Kalinowski; Yuan An (IJCNN, 2021)

OTMapOnto: optimal transport-based ontology matching. - Yuan An; Alexander Kalinowski; Jane Greenberg (OM@ISWC, 2021)

Quantifying the Impact of Predicate Similarities on Knowledge Graph Triple Embeddings. - Alexander Kalinowski; Yuan An (AIC, 2022)

Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). - Yuan An; Jane Greenberg; Xiaohua Hu 001; Alexander Kalinowski; Xiao Fang; Xintong Zhao; Scott McClellan; Fernando J. Uribe-Romo; Kyle Langlois; Jacob Furst 002; Diego A. Gómez-Gualdrón; Fernando Fajardo-Rojas; et al. (IEEE Big Data, 2022)

Is There a Limit to the Utility of Analogy? A Case Study in Knowledge Graph Triple Representation. - Alexander Kalinowski; Yuan An (CSCI, 2022)

Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision. - Alexander Kalinowski; Yuan An (IDSTA, 2022)

Prompt Design and Answer Processing for Knowledge Base Construction from Pre-trained Language Models. - Xiao Fang; Alexander Kalinowski; Haoran Zhao; Ziao You; Yuhao Zhang; Yuan An (LM-KBC@ISWC, 2022)

Exploring Wasserstein distance across concept embeddings for ontology matching. - Yuan An; Alexander Kalinowski; Jane Greenberg (OM@ISWC, 2022)

Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies. - Yuan An; Jane Greenberg; Xintong Zhao; Xiaohua Hu 001; Scott McClellan; Alexander Kalinowski; Fernando J. Uribe-Romo; Kyle Langlois; Jacob Furst 002; Diego A. Gómez-Gualdrón; Fernando Fajardo-Rojas; Katherine Ardila (CoRR, 2022)

A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport. - Alexander Kalinowski; Deepayan Datta; Yuan An (IEEE Big Data, 2023)

Knowledge Graph Question Answering for Materials Science (KGQA4MAT). - Yuan An; Jane Greenberg; Fernando J. Uribe-Romo; Diego A. Gómez-Gualdrón; Kyle Langlois; Jacob Furst 002; Alex Kalinowski; Xintong Zhao; Xiaohua Hu 001 (MTSR, 2023)

Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG). - Yuan An; Jane Greenberg; Alexander Kalinowski; Xintong Zhao; Xiaohua Hu 001; Fernando J. Uribe-Romo; Kyle Langlois; Jacob Furst 002; Diego A. Gómez-Gualdrón (CoRR, 2023)

Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System. - Yuan An; Samarth Kolanupaka; Jacob An; Matthew Ma; Unnat Chhatwal; Alex Kalinowski; Michelle Rogers; Brian Smith (IEEE Big Data, 2024)

Representing Knowledge Graph Triples through Siamese Line Graph Sampling. - Alexander Kalinowski; Yuan An (IJCNN, 2024)

Enhancing semantic interoperability across materials science with HIVE4MAT. - Jane Greenberg; Kio Polson; Scott McClellan; Xintong Zhao; Alex Kalinowski; Yuan An (SeMatS@SEMANTiCS, 2024)

Is the Lecture Engaging for Learning? Lecture Voice Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System. - Yuan An; Samarth Kolanupaka; Jacob An; Matthew Ma; Unnat Chhatwal; Alex Kalinowski; Michelle Rogers; Brian Smith (CoRR, 2024)