Search Results for author:
Found 5 papers, 2 papers with code
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
ConQA comprises 30 descriptive and 50 conceptual queries on 43k images with more than 100 manually annotated images per query.
Ranked #1 on
Image Retrieval
on ConQA Conceptual
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm.
Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions
In this work, we propose SimpleRec, a strong baseline that uses a graph neural network and a KG to provide better recommendations than related inductive methods for new users and items.
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
As a demonstration of the importance of this new dataset, we present a comparative study of the effect of the inclusion of ratings on non-item KG entities in a variety of state-of-the-art recommendation models.
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs
Although popular in relational databases, view materialization for RDF and SPARQL has not yet transitioned into practice, due to the non-trivial application to the RDF graph model.
Knowledge Graphs
Databases
