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09/09/2023
osmAG: Hierarchical Semantic Topometric Area Graph Maps in the OSM Format for Mobile Robotics
Maps are essential to mobile robotics tasks like localization and planni...
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03/22/2023
Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning
Graph Neural Networks (GNNs) have been recently introduced to learn from...
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07/24/2022
AutoWeird: Weird Translational Scoring Function Identified by Random Search
Scoring function (SF) measures the plausibility of triplets in knowledge...
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05/30/2022
Learning Adaptive Propagation for Knowledge Graph Reasoning
Due to the success of Graph Neural Networks (GNNs) in learning from grap...
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05/05/2022
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning
While hyper-parameters (HPs) are important for knowledge graph (KG) lear...
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08/13/2021
Knowledge Graph Reasoning with Relational Directed Graph
Reasoning on the knowledge graph (KG) aims to infer new facts from exist...
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07/01/2021
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding
Scoring functions, which measure the plausibility of triples, have becom...
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04/22/2021
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
The scoring function, which measures the plausibility of triplets in kno...
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10/24/2020
Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding
Negative sampling, which samples negative triplets from non-observed one...
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11/17/2019
Neural Recurrent Structure Search for Knowledge Graph Embedding
Knowledge graph (KG) embedding is a fundamental problem in mining relati...
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04/26/2019
AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding
Knowledge graph embedding (KGE) aims to find low dimensional vector repr...
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12/16/2018
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Knowledge Graph (KG) embedding is a fundamental problem in data mining r...
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05/18/2018
