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02/15/2023
Learning to Substitute Ingredients in Recipes
Recipe personalization through ingredient substitution has the potential...
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10/14/2022
Using Graph Algorithms to Pretrain Graph Completion Transformers
Recent work on Graph Neural Networks has demonstrated that self-supervis...
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02/18/2021
Knowledge Hypergraph Embedding Meets Relational Algebra
Embedding-based methods for reasoning in knowledge hypergraphs learn a r...
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02/09/2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Graph neural networks (GNNs) work well when the graph structure is provi...
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06/01/2019
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations
Knowledge graphs store facts using relations between pairs of entities. ...
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12/07/2018
Improved Knowledge Graph Embedding using Background Taxonomic Information
Knowledge graphs are used to represent relational information in terms o...
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08/06/2018
Structure Learning for Relational Logistic Regression: An Ensemble Approach
We consider the problem of learning Relational Logistic Regression (RLR)...
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06/26/2018
Record Linkage to Match Customer Names: A Probabilistic Approach
Consider the following problem: given a database of records indexed by n...
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07/25/2017
Comparing Aggregators for Relational Probabilistic Models
Relational probabilistic models have the challenge of aggregation, where...
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06/28/2016
