知识图谱毕业论文 精选133篇知识图谱论文

下面是好好范文网小编收集整理的知识图谱毕业论文 精选133篇知识图谱论文，仅供参考，欢迎大家阅读！

从广义上来说，知识图谱是一个包括知识表示、知识构建、知识维护以及知识应用的完整生态系统，它不仅包含特定领域中的知识定义和实例数据，还包含了支撑描述、构建、储存、管理和应用知识所需的配套标准、技术和工具。

知识图谱是人工智能领域的重要分支，也是机器具有认知能力的基石，随着知识图谱技术研究与应用的深化，该方向吸引了来自工业界和学术界的广泛关注，相关技术已经在金融证券、生物医疗、图书情报、电商、农业、政府、电信和出版等领域得到较为广泛的应用。

比如在金融证券领域，利用图计算的方法构建科学、严谨的企业风险评估体系，有效规避潜在的经营风险与资金风险。

当前知识图谱相关的顶会论文也越来越多，我们特地精选值得细读的100篇（2019-2021），包括知识表示学习、知识构建与信息抽取、知识语义计算与理解、知识增强与应用等四个方面。

知识表示学习

Dual Quaternion Knowledge Graph Embeddings

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

PASSLEAF: A Pool-Based Semi-Supervised Learning Framework for Uncertain Knowledge Graph Embedding

Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge Graphs

Learning from History: Modeling Temporal Knowledge Graphs with Sequential CopyGeneration Networks

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

5 Knowledge Graph Embeddings with Projective Transformations

知识构建与信息抽取

Type-Augmented Relation Prediction in Knowledge Graphs

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing

FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction

Multi-View Inference for Relation Extraction with Uncertain Knowledge

Multi-Modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance

GDPNet: Refining Latent Multi-View Graph for Relation Extraction

Relation-Aware Neighborhood Matching Model for Entity Alignment

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification

Progressive Multi-Task Learning with Controlled information Flow for Joint Entity and Relation Extraction

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

Document-Level Relation Extraction with Reconstruction

CrossNER: Evaluating Cross-Domain Named Entity Recognition

A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking

A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition

Knowledge Refinery: Learning from Decoupled Label

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Nested Named Entity Recognition with Partially-Observed TreeCRFs

Improving the Efficiency and Effectiveness for Bert-Based Entity Resolution

Continual Learning for Named Entity Recognition

A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations

A Lightweight Neural Model for Biomedical Entity Linking

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

Entity Structure Within and Throughout: Modeling Mention Dependencies for DocumentLevel Relation Extraction

DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Span-Based Event Coreference Resolution

Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity

Visual Pivoting for (Unsupervised) Entity Alignment

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model

MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization

Dynamic Knowledge Graph Alignment

GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event Extraction

Few-Shot Named Entity Recognition: An Empirical Baseline Study

Learning from Noisy Labels for Entity-Centric Information Extraction

Data Augmentation for Cross-Domain Named Entity RecognitionFine-grained Entity Typing via Label Reasoning

Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models

Low-Rank Subspaces for Unsupervised Entity Linking

Highly Parallel Autoregressive Entity Linking with Discriminative Correction

End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge

From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment

Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing

Document-level Entity-based Extraction as Template Generation

Injecting Entity Types into Entity-Guided Text Generation

Enhanced Language Representation with Label Knowledge for Span Extraction

Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction

A Partition Filter Network for Joint Entity and Relation Extraction

A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling

Modular Self-Supervision for Document-Level Relation Extraction

Exploring Task Difficulty for Few-Shot Relation Extraction

MapRE: An Effective Semantic MApping Approach for Low-resource Relation Extraction

Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Extracting Event Temporal Relations via Hyperbolic Geometry

Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction

Corpus-based Open-Domain Event Type Induction

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention

A Relation-Oriented Clustering Method for Open Relation Extraction

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

Entity Relation Extraction as Dependency Parsing in Visually Rich Documents

Cost-effective End-to-end Information Extraction for Semi-structured Document Images

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment

Uncovering Main Causalities for Long-tailed Information Extraction

Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context

Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction

Importance Estimation from Multiple Perspectives for Keyphrase Extraction

DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction

An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction

知识语义计算与理解

Comprehension and Knowledge

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling

KG-BART: Knowledge Graph-Augmented Bart for Generative Commonsense Reasoning

Communicative Message Passing for Inductive Relation Reasoning

Neural Relational Inference with Efficient Message Passing Mechanisms

GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning

Relation-Aware Graph Attention Model with Adaptive Self-Adversarial Training

Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching

Randomized Generation of Adversary-Aware Fake Knowledge Graphs to Combat Intellectual Property Theft

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching

Hierarchical Relational Inference

知识增强与应用

Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question Answering

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation

Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders

Knowledge-Guided Object Discovery with Acquired Deep Impressions

Encoding Human Domain Knowledge to Warm Start Reinforcement Learning

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball

ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs

6350: Unanswerable Question Correction in Question Answering over Personal Knowledge Base

6672: Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing

7812: Text-Based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

7833: Knowledge-Driven Natural Language Understanding of English Text and its Applications

Judgment Prediction via Injecting Legal Knowledge into Neural Networks

Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling

Knowledge-Aware Coupled Graph Neural Network for Social Recommendation

Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning

Humor Knowledge Enriched Transformer for Understanding Multimodal Humor

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

Knowledge-Aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification

Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-toText Transformation

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-Shot Commonsense Question Answering