18 citations · 26 across the 5 of their papers we have counts for
4 papers · 1 filter
Graph Data Management and Graph Machine Learning: Synergies and Opportunities
Arijit Khan, Xiangyu Ke, Yinghui Wu
The ubiquity of machine learning, particularly deep learning, applied to graphs is evident in applications ranging from cheminformatics (drug discovery) and bioinformatics (protein…
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
Chuangtao Ma, Sriom Chakrabarti, Arijit Khan +1
Traditional similarity-based schema matching methods are incapable of resolving semantic ambiguities and conflicts in domain-specific complex mapping scenarios due to missing commo…
Knowledge Graphs Querying
Arijit Khan
Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were constructed to store large-scale, real-world facts as (subject, predicate, object) triples -- that c…
Vertex-Centric Graph Processing: The Good, the Bad, and the Ugly
Arijit Khan
We study distributed graph algorithms that adopt an iterative vertex-centric framework for graph processing, popularized by the Google's Pregel system. Since then, there are severa…