https://github.com/13998151318/nala
공식 코드NALA: an Effective and Interpretable Entity Alignment Method
Papers with Code 아카이브
Entity Alignment
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 10
- 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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DexterZeng/CEA
공식 코드https://github.com/DexterZeng/CEAFF
공식 코드Reinforcement Learning based Collective Entity Alignment with Adaptive Features
https://github.com/DexterZeng/DAT
공식 코드https://github.com/DexterZeng/UEA
공식 코드Towards Entity Alignment in the Open World: An Unsupervised Approach
https://github.com/Handon112358/NeurIPS_2024_Learning-Matchable-Prior-For-Entity-Alignment-with-Unlabeled-Dangling-Cases
공식 코드Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
https://github.com/IDEA-FinAI/Simple-HHEA
공식 코드https://github.com/LinXueyuanStdio/EchoEA
공식 코드EchoEA: Echo Information between Entities and Relations for Entity Alignment
https://github.com/MaoXinn/Dual-AMN
공식 코드https://github.com/MaoXinn/RREA
공식 코드https://github.com/SDM-TIB/SDM-RDFizer
공식 코드EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
https://github.com/StephanieWyt/HGCN-JE-JR
공식 코드Jointly Learning Entity and Relation Representations for Entity Alignment
https://github.com/StephanieWyt/NMN
공식 코드https://github.com/StephanieWyt/RDGCN
공식 코드Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
https://github.com/THU-KEG/Entity_Alignment_Papers
공식 코드https://github.com/THUDM/SelfKG
공식 코드https://github.com/Valentyn1997/kg-alignment-lessons-learned
공식 코드Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
https://github.com/ZihengZZH/OntoEA
공식 코드OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
https://github.com/ZihengZZH/industry-eval-EA
공식 코드https://github.com/acharkq/training-free-graph-matching
공식 코드https://github.com/blzhu0823/pathfusion
공식 코드Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths
https://github.com/cambridgeltl/eva
공식 코드https://github.com/chuanyus/udcea
공식 코드https://github.com/codesfornlp/otiea
공식 코드OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment
https://github.com/codesfornlp/ttea
공식 코드https://github.com/fanourakis/experimental-review-ea
공식 코드Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review
https://github.com/guolingbing/rlea
공식 코드https://github.com/h324yang/HMAN
공식 코드Aligning Cross-Lingual Entities with Multi-Aspect Information
https://github.com/immortals88/demo-sea
공식 코드https://github.com/jadexin/cyctea
공식 코드Ensemble Semi-supervised Entity Alignment via Cycle-teaching
https://github.com/jadexin/imea
공식 코드https://github.com/jadexin/largegnn
공식 코드Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding
https://github.com/joker-xii/clusterea
공식 코드ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
https://github.com/jxh4945777/ChatEA
공식 코드Unlocking the Power of Large Language Models for Entity Alignment
https://github.com/lcai2/lighttea
공식 코드https://github.com/lcai2/stea
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.