A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

2017/12/31 by Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen +1 · 884 citations
Computer Science · Mathematics · #Advanced Graph Neural Networks #Algorithm #Artificial intelligence #Artificial neural network #Base (topology) #Benchmark (surveying) #Computer science #Convolution (computer science) #Convolutional neural network #Domain Adaptation and Few-Shot Learning #Dot product #Embedding #Feature (linguistics) #Feature vector #Mathematics #Matrix (chemical analysis) #Pattern recognition (psychology) #Topic Modeling #cs.CL

paper · pdf · doi:10.18653/v1/n18-2053

In Proceedings of NAACL-HLT 2018, to appear

openalex publication_date 2018/01/01 · arxiv created 2018/03/13 · arxiv updated 2018/08/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). 2018.

Citations

• Adam: A Method for Stochastic Optimization
• Embedding Entities and Relations for Learning and Inference in Knowledge Bases
• Traversing Knowledge Graphs in Vector Space
• Gradient-based learning applied to document recognition
• Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information
• Complex Embeddings for Simple Link Prediction
• Differentiable Learning of Logical Rules for Knowledge Base Reasoning
• KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features
• Link Prediction using Embedded Knowledge Graphs
• Convolutional Neural Networks for Sentence Classification
• Modeling Relational Data with Graph Convolutional Networks
• ProjE: Embedding Projection for Knowledge Graph Completion
• FVQA: Fact-Based Visual Question Answering

Cited by

• QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
• PPKE: Knowledge Representation Learning by Path-based Pre-training
• A Probit Tensor Factorization Model For Relational Learning
• ViSR-KGC: Visual Subgraph Reasoning with Vision-Language Models for Multimodal Knowledge Graph Completion