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09/12/2023
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling
We propose MatSci ML, a novel benchmark for modeling MATerials SCIence u...
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08/12/2023
Approximate Answering of Graph Queries
Knowledge graphs (KGs) are inherently incomplete because of incomplete w...
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03/26/2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Complex logical query answering (CLQA) is a recently emerged task of gra...
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02/08/2023
Attending to Graph Transformers
Recently, transformer architectures for graphs emerged as an alternative...
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11/30/2022
Weisfeiler and Leman Go Relational
Knowledge graphs, modeling multi-relational data, improve numerous appli...
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10/13/2022
Inductive Logical Query Answering in Knowledge Graphs
Formulating and answering logical queries is a standard communication in...
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09/30/2022
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
In pace with developments in the research field of artificial intelligen...
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05/16/2022
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Answering complex first-order logic (FOL) queries on knowledge graphs is...
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08/21/2021
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
We systematically evaluate a Deep Learning (DL) method in a 3D medical i...
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07/10/2021
Improving Inductive Link Prediction Using Hyper-Relational Facts
For many years, link prediction on knowledge graphs (KGs) has been a pur...
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06/23/2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Conventional representation learning algorithms for knowledge graphs (KG...
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06/15/2021
Query Embedding on Hyper-relational Knowledge Graphs
Multi-hop logical reasoning is an established problem in the field of re...
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09/22/2020
Message Passing for Hyper-Relational Knowledge Graphs
Hyper-relational knowledge graphs (KGs) (e.g., Wikidata) enable associat...
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07/03/2020
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks
Pre-training large-scale language models (LMs) requires huge amounts of ...
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09/06/2019