Entity Alignment
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Benchmarks
DBP15k zh-en
dbp15k fr-en
dbp15k ja-en
FBDB15k
FBYG15k
DBP1M DE-EN
DICEWS-1K
YAGO-WIKI50K
DBP1M FR-EN
DBP2.0 zh-en
Most implemented
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
Representing Entity Importance in AI Knowledge Systems: A Dual-Signal Framework of Audience Evaluation and Structural Authority
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment
Papers
IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment
Entity alignment (EA) identifies entities across knowledge graphs (KGs) that refer to the same real-world object. Conventional EA methods mainly exploit explicit graph structures and textual fields, which often provide i…
Entity AlignmentKnowledge GraphsRepresenting Entity Importance in AI Knowledge Systems: A Dual-Signal Framework of Audience Evaluation and Structural Authority
AI knowledge systems require representations of entity importance for retrieval, recommendation, evidence selection, and knowledge-intensive reasoning. Yet importance is often reduced to a single score derived from eithe…
Entity AlignmentFrom Region Arrival to Instance-Level Grounding in Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) agents may satisfy conventional success criteria while still failing to establish reliable object-level grounding, because current evaluation protocols mainly reward stopping within a…
Visual GroundingEntity AlignmentPredicate Importance Estimation and Decoupled Rationale-Score Distillation for Entity Alignment
Knowledge graphs (KGs) are increasingly used as structured context for Large Language Models (LLMs), but industrial KG-RAG systems often need to integrate public and domain-specific KGs constructed from heterogeneous dat…
Knowledge GraphsEntity AlignmentHarnessing Structural Context for Entity Alignment Foundation Models
Entity alignment (EA) aims to identify equivalent entities across heterogeneous knowledge graphs (KGs) and is a key component of knowledge fusion and cross-KG reasoning. The recent EA foundation model demonstrates that a…
Knowledge GraphsEntity AlignmentHELEA: Hard-Negative Benchmark and LLM-based Reranking for Robust Entity Alignment
Entity Alignment (EA) is essential for knowledge graph (KG) fusion, but existing benchmarks often allow models to exploit name overlap rather than relational structure. This makes it difficult to evaluate whether models …
Entity Alignment