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complex
complex PublicForked from ttrouill/complex
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
Python
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The-code-of-paper-Incorporating-Attributes-Semantics-into-Knowledge-Graph-Embeddings-
The-code-of-paper-Incorporating-Attributes-Semantics-into-Knowledge-Graph-Embeddings- PublicForked from Limingyang1/The-code-of-paper-Incorporating-Attributes-Semantics-into-Knowledge-Graph-Embeddings-
More and more works have focused on incorporating different kinds of literals into Knowledge Graph to promote the performance of knowledge embedding. These literals contain numeric literals, text l…
Python
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PathCon
PathCon PublicForked from hyren/PathCon
Combining relational context and relational paths for knowledge graph completion
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QuatE
QuatE PublicForked from cheungdaven/QuatE
Pytorch implementation of Quaternion Knowledge Graph Embeddings.
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Inductive-relation-prediction-by-subgraph-reasoning
Inductive-relation-prediction-by-subgraph-reasoning PublicForked from kkteru/grail
Inductive relation prediction by subgraph reasoning, ICML'20
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Source code for the SIGIR 2022 paper "Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding"
NLP-reference/MorsE’s past year of commit activity - AutoETER Public Forked from ngl567/AutoETER
EMNLP 2020 Findings: AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
NLP-reference/AutoETER’s past year of commit activity - Inductive-relation-prediction-by-subgraph-reasoning Public Forked from kkteru/grail
Inductive relation prediction by subgraph reasoning, ICML'20
NLP-reference/Inductive-relation-prediction-by-subgraph-reasoning’s past year of commit activity - The-code-of-paper-Incorporating-Attributes-Semantics-into-Knowledge-Graph-Embeddings- Public Forked from Limingyang1/The-code-of-paper-Incorporating-Attributes-Semantics-into-Knowledge-Graph-Embeddings-
More and more works have focused on incorporating different kinds of literals into Knowledge Graph to promote the performance of knowledge embedding. These literals contain numeric literals, text literals, image literals and so on. These additional descriptions are connected to the entities through certain attributes. To incorporate numeric lite…
NLP-reference/The-code-of-paper-Incorporating-Attributes-Semantics-into-Knowledge-Graph-Embeddings-’s past year of commit activity - KnowledgeGraphEmbedding Public Forked from DeepGraphLearning/KnowledgeGraphEmbedding
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NLP-reference/KnowledgeGraphEmbedding’s past year of commit activity - QuatE Public Forked from cheungdaven/QuatE
Pytorch implementation of Quaternion Knowledge Graph Embeddings.
NLP-reference/QuatE’s past year of commit activity - PathCon Public Forked from hyren/PathCon
Combining relational context and relational paths for knowledge graph completion
NLP-reference/PathCon’s past year of commit activity - complex Public Forked from ttrouill/complex
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
NLP-reference/complex’s past year of commit activity
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