1 citations · 3 across the 10 of their papers we have counts for
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KGCQual: An Interpretable Framework for Evaluating the Knowledge Graph Construction Quality from Text
Nipun Misra, Vikranth Udandarao, Aanchal Gupta +3
Knowledge Graphs (KGs) are increasingly constructed through automated extraction pipelines; however, such systems often introduce spurious or incomplete triples, which degrade down…
InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs
Mayank Kharbanda, Michael Cochez, Rajiv Ratn Shah +1
Logical Multi-Hop Query Answering over Knowledge Graphs (KGs) can be formulated as querying, with an implicit completeness assumption. Current works mainly focus on Existential Fir…
Beyond Binary Moral Judgment: Modeling Ethical Pluralism in AI
Aisha Aijaz, Rahul Goel, Arnav Batra +1
Critical decision-making in socially consequential spaces is increasingly involving AI systems at varying capacities. Yet, despite the ubiquity of autonomous systems, most approach…
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs
Mayank Kharbanda, Rajiv Ratn Shah, Raghava Mutharaju
Multi-hop query answering over a Knowledge Graph (KG) involves traversing one or more hops from the start node to answer a query. Path-based and logic-based methods are state-of-th…
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships
Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju +1
Knowledge Graph (KG) embeddings provide a low-dimensional representation of entities and relations of a Knowledge Graph and are used successfully for various applications such as q…