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Entity Alignment

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보존된 평가 기록: 97

Entity Alignment is the task of finding entities in two knowledge bases that refer to the same real-world object. It plays a vital role in automatically integrating multiple knowledge bases.
Note: results that have incorporated machine translated entity names (introduced in the RDGCN paper) or pre-alignment name embeddings are considered to have used extra training labels (both are marked with "Extra Training Data" in the leaderboard) and are not adhere to a comparable setting with others that have followed the original setting of the benchmark.

Source: Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

The task of entity alignment is related to the task of entity resolution which focuses on matching structured entity descriptions in different contexts.

논문

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Entity Alignment

논문

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective

SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment

Type Information-Assisted Self-Supervised Knowledge Graph Denoising

LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs

Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning

Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps

SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment

CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models

Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs

Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment

A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignment

Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphs

Neuro-Symbolic Entity Alignment via Variational Inference

Neurosymbolic Methods for Dynamic Knowledge Graphs

Enhancing Visual Dialog State Tracking through Iterative Object-Entity Alignment in Multi-Round Conversations

DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs

Aligning Multiple Knowledge Graphs in a Single Pass

LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment

IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment

Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy

Progressively Modality Freezing for Multi-Modal Entity Alignment

Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts

Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap

Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective

Entity Alignment with Noisy Annotations from Large Language Models

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings

Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment

NALA: an Effective and Interpretable Entity Alignment Method

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases

Noise-powered Multi-modal Knowledge Graph Representation Framework

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Unlocking the Power of Large Language Models for Entity Alignment

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation