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09/17/2023
Model-based Subsampling for Knowledge Graph Completion
Subsampling is effective in Knowledge Graph Embedding (KGE) for reducing...
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08/15/2023
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation
Recently, in the field of recommendation systems, linear regression (aut...
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06/14/2023
Using Wikipedia Editor Information to Build High-performance Recommender Systems
Wikipedia has high-quality articles on a variety of topics and has been ...
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06/03/2023
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models
In this paper, we propose a table and image generation task to verify ho...
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09/13/2022
Subsampling for Knowledge Graph Embedding Explained
In this article, we explain the recent advance of subsampling methods in...
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06/21/2022
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Negative sampling (NS) loss plays an important role in learning knowledg...
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06/14/2021
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
In knowledge graph embedding, the theoretical relationship between the s...
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07/28/2020
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention ...
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12/04/2019
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion
Methods based on vector embeddings of knowledge graphs have been activel...
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09/04/2019
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
Bilinear diagonal models for knowledge graph embedding (KGE), such as Di...
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02/08/2019
Binarized Knowledge Graph Embeddings
Tensor factorization has become an increasingly popular approach to know...
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10/18/2018
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices
Currently, the biaffine classifier has been attracting attention as a me...
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08/25/2018
