https://github.com/luosx18/ued
공식 코드An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection
ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment
Multi-modal Contrastive Representation Learning for Entity Alignment
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
A Critical Assessment of State-of-the-Art in Entity Alignment
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Progressively Modality Freezing for Multi-Modal Entity Alignment
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Knowledge Association with Hyperbolic Knowledge Graph Embeddings
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs
Generating Explanations to Understand and Repair Embedding-based Entity Alignment
$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.