knowledge graph embedding

https://openreview.net/forum?id=olZAWuGOUz HousE: Knowledge Graph Embedding with Householder Parameterization | OpenReview The effectiveness of knowledge graph embedding (KGE) largely depends on the ability to model intrinsic relation patterns and mapping properties. However,... knowledge graph embedding house parameterization openreview https://openreview.net/forum?id=RrHOg72CCI&referrer=%5Bthe%20profile%20of%20Seong%20Jin%20Ahn%5D(%2Fprofile%3Fid%3D~Seong_Jin_Ahn1) Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion | OpenReview Most Knowledge Graph(KG) embedding models require negative sampling to learn the representations of KG by discriminating the differences between positive and... knowledge graph embedding based on bootstrapped neighbor expansion https://openreview.net/forum?id=P4W74BXoyBy Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding | OpenReview Knowledge graph embedding models learn the representations of entities and relations in the knowledge graphs for predicting missing links (relations) between... knowledge graph embedding rot pro modeling transitivity https://openreview.net/forum?id=OoOpO0u4Xd InGram: Inductive Knowledge Graph Embedding via Relation Graphs | OpenReview Inductive knowledge graph completion has been considered as the task of predicting missing triplets between new entities that are not observed during training.... knowledge graph embedding ingram inductive via relation https://aclanthology.org/2021.findings-acl.96/ OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding - ACL Anthology Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021. knowledge graph embedding https://deepai.org/publication/chronor-rotation-based-temporal-knowledge-graph-embedding ChronoR: Rotation Based Temporal Knowledge Graph Embedding | DeepAI Mar 18, 2021 - 03/18/21 - Despite the importance and abundance of temporal knowledge graphs, most of the current research has been focused on reasoning on s... knowledge graph embedding rotation based temporal deepai https://arxiv.org/abs/2002.00819 [2002.00819] Knowledge Graph Embedding for Link Prediction: A Comparative Analysis Abstract page for arXiv paper 2002.00819: Knowledge Graph Embedding for Link Prediction: A Comparative Analysis knowledge graph embedding link prediction 2002 00819 https://openreview.net/forum?id=SoIwc1zg_TS&referrer=%5Bthe%20profile%20of%20David%20Poole%5D(%2Fprofile%3Fid%3D~David_Poole1) Improved Knowledge Graph Embedding Using Background Taxonomic Information. | OpenReview Knowledge graphs are used to represent relational information in terms of triples. To enable learning about domains, embedding models, such as tensor... knowledge graph embedding improved using background taxonomic https://aclanthology.org/N19-1099/ Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process -... Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational... integration of knowledge graph embedding https://deepai.org/publication/a-comprehensive-study-on-knowledge-graph-embedding-over-relational-patterns-based-on-rule-learning A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning... Aug 15, 2023 - 08/15/23 - Knowledge Graph Embedding (KGE) has proven to be an effective approach to solving the Knowledge Graph Completion (KGC) task. Relat... knowledge graph embedding https://deepai.org/publication/pykg2vec-a-python-library-for-knowledge-graph-embedding Pykg2vec: A Python Library for Knowledge Graph Embedding | DeepAI Jun 4, 2019 - 06/04/19 - Pykg2vec is an open-source Python library for learning the representations of the entities and relations in knowledge graphs. Pykg... knowledge graph embedding python library deepai

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