6 citations · 12 across the 11 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CL2022
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
Alexander Kalinowski, Yuan An
The majority of knowledge graph embedding techniques treat entities and predicates as separate embedding matrices, using aggregation functions to build a representation of the inpu…
cs.AI2022
Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching
Yuan An, Alex Kalinowski, Jane Greenberg
Measuring the distance between ontological elements is fundamental for ontology matching. String-based distance metrics are notorious for shallow syntactic matching. In this explor…
cs.AI2022★ 6 cited
Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies
Yuan An, Jane Greenberg, Xintong Zhao +9
Metal-Organic Frameworks (MOFs) are a class of modular, porous crystalline materials that have great potential to revolutionize applications such as gas storage, molecular separati…