[PDF] Top 20 Improving Knowledge Graph Embedding Using Simple Constraints
Has 10000 "Improving Knowledge Graph Embedding Using Simple Constraints" found on our website. Below are the top 20 most common "Improving Knowledge Graph Embedding Using Simple Constraints".
Improving Knowledge Graph Embedding Using Simple Constraints
... Embedding knowledge graphs (KGs) into continuous vector spaces is a focus of cur- rent ...via simple models developed over KG ...of using very sim- ple constraints to improve KG ... See full document
12
Semi supervised Entity Alignment via Joint Knowledge Embedding Model and Cross graph Model
... joint Knowledge Embedding model and Cross-Graph model (KECG), which combines the above two types of ...by using inner-graph structure and inter-graph alignments information; ... See full document
10
Knowledge Graph Embedding with Numeric Attributes of Entities
... inal knowledge in the KG. KG embedding models achieve good performance in KG completion in terms of efficiency and ...KG embedding approach (Bordes et ...is simple but powerful, and it gets ... See full document
5
Improved Knowledge Graph Embedding Using Background Taxonomic Information
... proposed SimplE + , a fully expressive ten- sor factorization model for knowledge graph completion when background taxonomic information (in terms of sub- classes and subproperties) is ... See full document
8
Knowledge Graph Embedding via Dynamic Mapping Matrix
... is simple and effective, and also achieves state-of-the-art prediction ...the embedding space. For a golden triplet (h, r, t), the embedding h is close to the embedding t by adding the ... See full document
10
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
... applying Graph Neural Network (GNN) on the KG, which generates the embedding of a new entity by aggre- gating all its known ...via simple pooling functions, which ne- glects the difference among the ... See full document
8
TransGate: Knowledge Graph Embedding with Shared Gate Structure
... a simple and effective model and regards every relation as translation between the heads and ...denote embedding vector with the same letters in ...the embedding h is close to the embedding t ... See full document
8
Relation Embedding with Dihedral Group in Knowledge Graph
... by using complex-valued instead of real-valued vectors for entities and rela- ...and SimplE (Kazemi and Poole, 2018) both reformulate the tensor decomposition approach in light of analogical and reversible ... See full document
10
Improving rare disease classification using imperfect knowledge graph
... for improving document ...word embedding methods to allow for fuzzy matching between KG entities and a document, to increase the coverage of knowledge features in a docu- ... See full document
10
Transition-based Knowledge Graph Embedding with Relational Mapping Properties
... One of the benefits of knowledge embedding is that we can apply simple mathematical operations to many reasoning tasks. For example, link prediction is a valuable task that contributes to completing ... See full document
10
Semantically Smooth Knowledge Graph Embedding
... KG embedding, referred to as Semantically S- mooth Embedding ...impose constraints on the geometric structure of the embedding space and enforce it to be semanti- cally ...by using ... See full document
11
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
... via graph and text joint ...variation knowledge and pre- dict the new variations not appearing in the train- ing set by utilizing sophisticated heterogeneous graph mining ...variation graph ... See full document
10
SRDF: Extracting Lexical Knowledge Graph for Preserving Sentence Meaning
... Consider, for example, the sentence “Marsel was established by the British government with the help of American policymakers in 1971 as the nation’s first research oriented science institution.”. Current Open IE systems ... See full document
5
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
... Knowledge graph (KG) embedding (Bordes et ...edge graph embedding (TMKGE), a hierarchical Dirichlet process (HDP) based model to extract more coherent topics by taking advantage of the ... See full document
11
A Translation Based Knowledge Graph Embedding Preserving Logical Property of Relations
... translation-based knowledge graph embedding that preserves the logical properties of relations such as tran- sitivity and ...The embedding space generated by existing translation-based ... See full document
10
A Capsule Network based Embedding Model for Knowledge Graph Completion and Search Personalization
... large knowledge graphs, even containing billions of triples, are still incom- plete, ...the knowledge graph completion task which aims to predict missing triples in KGs, ...many embedding ... See full document
10
Jointly Embedding Entities and Text with Distant Supervision
... only using a ter- minology and an unannotated corpus, we are able to learn entity embeddings from larger and more diverse data; for example, embeddings learned from Gigaword (which has no entity annotations) ... See full document
12
Improving Embedding Capacity by using the Z4 linearity of Preparata Codes
... sible changes. In general, for the same embedding rate a method is better when the embedding efficiency is larger. We acknowl- edge, though, that the number of changes is not the only impor- tant factor ... See full document
6
Using Knowledge and Constraints To Find the Best Antecedent
... several constraints derived from surface-form of the mentions and the context in which they ...domain-specific knowledge sources, mention parsing and clinical descriptors in deriving features which ... See full document
16
Learning Word Representations with Regularization from Prior Knowledge
... ternal knowledge has to be clustered beforehand according to their semantic relatedness ...as knowledge that is learned else- where, such as from topic modeling or even a sen- timent lexicon, can be easily ... See full document
10
Related subjects