Prasanna Lakkur Subramanyam — accepted AI-conference papers

2024

Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity

Prasanna Lakkur Subramanyam, Jeng-Yu Chou, Kevin K. Nam, Brian Levine

EMNLP 2024finding

With the continuous growth of online communities, understanding their similarities and dissimilarities is more crucial than ever for enhancing digital interactions, maintaining healthy interactions, and improving content recommendation and moderation systems. In this work, we present two novel techn…

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2022

TempoQR: Temporal Question Reasoning over Knowledge Graphs

Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R Howard, Tetiana Grinberg +2

AAAI 2022technical

Knowledge Graph Question Answering (KGQA) involves retrieving facts from a Knowledge Graph (KG) using natural language queries. A KG is a curated set of facts consisting of entities linked by relations. Certain facts include also temporal information forming a Temporal KG (TKG). Although many natura…

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