Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence

Knowledge graphs (KGs), which could provide essential relational information between entities, have been widely utilized in various knowledge-driven applications. Since the overall human knowledge is innumerable that still grows explosively and changes frequently, knowledge construction and update inevitably involve automatic mechanisms with less human supervision, which usually bring in plenty of noises and conflicts to KGs. However, most conventional knowledge representation learning methods assume that all triple facts in existing KGs share the same significance without any noises. To address this problem, we propose a novel confidence-aware knowledge representation learning framework (CKRL), which detects possible noises in KGs while learning knowledge representations with confidence simultaneously. Specifically, we introduce the triple confidence to conventional translation-based methods for knowledge representation learning. To make triple confidence more flexible and universal, we only utilize the internal structural information in KGs, and propose three kinds of triple confidences considering both local and global structural information. In experiments, We evaluate our models on knowledge graph noise detection, knowledge graph completion and triple classification. Experimental results demonstrate that our confidence-aware models achieve significant and consistent improvements on all tasks, which confirms the capability of CKRL modeling confidence with structural information in both KG noise detection and knowledge representation learning.

• Publication year

  2017

• Venue

  AAAI Conference on Artificial Intelligence

• Publication date

  2017-05-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1609/aaai.v32i1.11924arXiv 1705.03202
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Volume 1

  2020cited by this paper
• Vandalism Detection in Wikidata

  2016influential reference
• Neural Relation Extraction with Selective Attention over Instances

  2016cited by this paper
• Representation Learning of Knowledge Graphs with Hierarchical Types

  2016cited by this paper
• From Freebase to Wikidata: The Great Migration

  2016cited by this paper
• Modeling Relation Paths for Representation Learning of Knowledge Bases

  2015influential reference
• Learning Entity and Relation Embeddings for Knowledge Graph Completion

  2015cited by this paper
• Towards Vandalism Detection in Knowledge Bases: Corpus Construction and Analysis

  2015cited by this paper
• A Review of Relational Machine Learning for Knowledge Graphs

  2015cited by this paper
• Type-Constrained Representation Learning in Knowledge Graphs

  2015cited by this paper
• DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia

  2015cited by this paper
• Knowledge vault: a web-scale approach to probabilistic knowledge fusion

  2014cited by this paper
• Knowledge Graph Embedding by Translating on Hyperplanes

  2014cited by this paper
• YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract

  2013cited by this paper
• Reasoning With Neural Tensor Networks for Knowledge Base Completion

  2013cited by this paper
• Translating Embeddings for Modeling Multi-relational Data

  2013influential reference
• A Novel Measure of Edge Centrality in Social Networks

  2012cited by this paper
• Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing

  2012cited by this paper
• Mitochondrial dysfunction - the beginning of the end in Alzheimer's disease? Separate and synergistic modes of tau and amyloid-β toxicity

  2011cited by this paper
• Proceedings of NIPS

  2010influential reference
• Freebase: a collaboratively created graph database for structuring human knowledge

  2008influential reference
• Proceedings of EMNLP

  2007influential reference
• DBpedia: A Nucleus for a Web of Open Data

  2007cited by this paper
• Bipartite network projection and personal recommendation.

  2007cited by this paper
• Combating Web Spam with TrustRank

  2004cited by this paper
• Noise and Knowledge Acquisition

  1987cited by this paper

• Multimodal Knowledge Graph Error Detection with Disentanglement VAE and Multi-Grained Triplet Confidence

  2025cites this paper
• Knowledge Memory Graph convolution network for cross-domain recommendation

  2025cites this paper
• FSKGE: Fuzzy spatio-temporal knowledge graph embedding

  2025cites this paper
• Active Learning Framework for Improving Knowledge Graph Accuracy

  2025cites this paper
• Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs

  2025cites this paper
• Uncertainty modeling for inductive knowledge graph embedding

  2025cites this paper
• DE4KG: A Comprehensive Framework for Detecting and Eliminating Low-Quality Issues in Domain-Specific Knowledge Graphs

  2025cites this paper
• A multi-perspective knowledge graph embedding model fusing structural features and textual descriptions of entities

  2025cites this paper
• Knowledge Error Detection via Textual and Structural Joint Learning

  2025cites this paper
• Triplet trustworthiness validation with knowledge graph reasoning

  2025cites this paper
• Learning to reason over multi-granularity knowledge graph for zero-shot urban land-use mapping

  2025cites this paper
• Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework

  2025cites this paper
• Refining Noisy Knowledge Graph with Large Language Models

  2025cites this paper
• A lightweight embedding method for knowledge graph quality evaluation

  2025cites this paper
• SemSynJE: Semantic and syntactic enhanced joint extraction of entity and relation for sheep disease prevention and treatment

  2025cites this paper
• Efficient and Tractable Conflict Detection in Knowledge Graphs via Path Analysis

  2025cites this paper
• Neural axiom network for knowledge graph reasoning

  2024influential citation
• A Novel Method for Boosting Knowledge Representation Learning in Entity Alignment through Triple Confidence

  2024cites this paper
• Research on quality assessment methods for cybersecurity knowledge graphs

  2024cites this paper
• A Survey of Multi-modal Knowledge Graphs: Technologies and Trends

  2024cites this paper
• DTKGIN: Predicting drug-target interactions based on knowledge graph and intent graph.

  2024cites this paper
• SeSICL: Semantic and Structural Integrated Contrastive Learning for Knowledge Graph Error Detection

  2024cites this paper
• A Comprehensive Approach to Assess Trustworthiness and Completeness of Knowledge Graphs

  2024influential citation
• ProMvSD: Towards unsupervised knowledge graph anomaly detection via prior knowledge integration and multi-view semantic-driven estimation

  2024cites this paper
• Cost-Aware TrE-ND: Tri-embed Noise Detection for Enhancing Data Quality of Knowledge Graph

  2024cites this paper
• Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding

  2024influential citation
• Enhancing Error Detection on Medical Knowledge Graphs via Intrinsic Label

  2024cites this paper
• Trustworthiness and path regularity based contrastive learning for noisy knowledge graph error assertion detection

  2024cites this paper
• Research on Spurious-Negative Sample Augmentation-Based Quality Evaluation Method for Cybersecurity Knowledge Graph

  2024cites this paper
• A review on the reliability of knowledge graph: from a knowledge representation learning perspective

  2024cites this paper
• Resilience in Knowledge Graph Embeddings

  2024influential citation
• Dual De-confounded Causal Intervention method for knowledge graph error detection

  2024cites this paper
• Knowledge graph accuracy evaluation: an LLM-enhanced embedding approach

  2024cites this paper
• Triple confidence measurement in knowledge graph with multiple heterogeneous evidences

  2024influential citation
• BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction

  2024cites this paper
• Heterogeneous Views and Spatial Structure Enhancement for triple error detection

  2024cites this paper
• Confidence-based Modeling of Temporal Knowledge Graphs

  2024cites this paper
• Knowledge-based anomaly detection: Survey, challenges, and future directions

  2024cites this paper
• Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion

  2024cites this paper
• Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks

  2024cites this paper
• Uncertainty Management in the Construction of Knowledge Graphs: a Survey

  2024cites this paper
• Knowledge Graph Pruning for Recommendation

  2024cites this paper
• RETRACTED: Triple trustworthiness evaluation for knowledge graph of industrial domain

  2023cites this paper
• A causal-based symbolic reasoning framework for uncertain knowledge graphs

  2023cites this paper
• A Comprehensive Survey on Automatic Knowledge Graph Construction

  2023cites this paper
• Active Ensemble Learning for Knowledge Graph Error Detection

  2023cites this paper
• HOFD: An Outdated Fact Detector for Knowledge Bases

  2023cites this paper
• Inconsistency Detection in Knowledge Graph with Entity and Path Semantics

  2023influential citation
• Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget

  2023cites this paper
• Knowledge-Enhanced Learning for KG Embedding

  2023cites this paper
• A confidence-aware and path-enhanced convolutional neural network embedding framework on noisy knowledge graph

  2023cites this paper
• MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction

  2023cites this paper
• Trustworthiness-aware knowledge graph representation for recommendation

  2023cites this paper
• Optimization Model of Knowledge Graph Reasoning Process Based on Generative Adversarial Network

  2023cites this paper
• TRIC: A Triples Corrupter for Knowledge Graphs

  2023cites this paper
• Cybersecurity knowledge graphs construction and quality assessment

  2023cites this paper
• Knowledge representation learning method based on background information and adaptive weight measurement

  2023cites this paper
• Performance Evolution of In-Knowledge Graph Tasks: A Structured Liter- ature Review

  2023influential citation
• Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection

  2023influential citation
• Knowledge Graph Error Detection with Hierarchical Path Structure

  2023cites this paper
• Knowledge Graph Error Detection with Contrastive Confidence Adaption

  2023cites this paper
• Advanced Attention for Causality Classification of Verb Nodes of Knowledge Graph

  2023cites this paper
• Deep Outdated Fact Detection in Knowledge Graphs

  2023cites this paper
• Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation

  2022cites this paper
• PGE: Robust Product Graph Embedding Learning for Error Detection

  2022cites this paper
• PTrustE: A high-accuracy knowledge graph noise detection method based on path trustworthiness and triple embedding

  2022cites this paper
• Contrastive Knowledge Graph Error Detection

  2022influential citation
• A comprehensive overview of knowledge graph completion

  2022cites this paper
• Trustworthiness Measurement for Multimedia Domain Knowledge Graph

  2022cites this paper
• Blockchain-Based Trust Edge Knowledge Inference of Multi-Robot Systems for Collaborative Tasks

  2021cites this paper
• Understanding Negative Sampling in Knowledge Graph Embedding

  2021cites this paper
• Confidence-Aware Embedding for Knowledge Graph Entity Typing

  2021cites this paper
• Pattern-Aware and Noise-Resilient Embedding Models

  2021cites this paper
• SUKE: Embedding Model for Prediction in Uncertain Knowledge Graph

  2021cites this paper
• Link Trustworthiness Evaluation over Multiple Heterogeneous Information Networks

  2021cites this paper
• Knowledge Representation Learning with Contrastive Completion Coding

  2021influential citation
• Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning

  2021cites this paper
• Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning

  2021influential citation
• REFORM: Error-Aware Few-Shot Knowledge Graph Completion

  2021cites this paper
• Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking

  2021cites this paper
• Knowledge Graph Validation

  2020cites this paper
• Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs.

  2020cites this paper
• NoiGAN: Noise Aware Knowledge Graph Embedding with Adversarial Learning

  2020cites this paper
• UniKER: A Unified Framework for Combining Embedding and Horn Rules for Knowledge Graph Inference

  2020cites this paper
• Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection

  2020cites this paper
• Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection

  2020cites this paper
• REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs

  2020cites this paper
• Knowledge Science, Engineering and Management: 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II

  2020cites this paper
• Efficient Knowledge Graph Validation via Cross-Graph Representation Learning

  2020influential citation
• Reliable Knowledge Graph Path Representation Learning

  2020influential citation
• Error detection in Knowledge Graphs: Path Ranking, Embeddings or both?

  2020influential citation
• Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion

  2019cites this paper
• Cosine-Based Embedding for Completing Schematic Knowledge

  2019cites this paper
• GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding

  2019cites this paper
• Embedding Learning with Triple Trustiness on Noisy Knowledge Graph

  2019influential citation
• FAQ-based Question Answering via Knowledge Anchors

  2019cites this paper
• NOIGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING

  2019influential citation
• SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement

  2019influential citation
• Computer Science & Information Technology

  2018cites this paper
• Triple Trustworthiness Measurement for Knowledge Graph

  2018influential citation