https://github.com/nju-websoft/CR2
공식 코드Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nju-websoft/DSKG
공식 코드DSKG: A Deep Sequential Model for Knowledge Graph Completion
https://github.com/nju-websoft/DeepLENS
공식 코드https://github.com/nju-websoft/HyperKA
공식 코드Knowledge Association with Hyperbolic Knowledge Graph Embeddings
https://github.com/nju-websoft/KG-ICL
공식 코드A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
https://github.com/nju-websoft/KG2RAG
공식 코드https://github.com/nju-websoft/MultiKE
공식 코드https://github.com/nju-websoft/OpenEA
공식 코드A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
https://github.com/nju-websoft/RGRec
공식 코드https://github.com/nju-websoft/RSN
공식 코드Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
https://github.com/nju-websoft/TransEdge
공식 코드TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
https://github.com/nju-websoft/cca
공식 코드Knowledge Graph Error Detection with Contrastive Confidence Adaption
https://github.com/nju-websoft/contea
공식 코드Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
https://github.com/nju-websoft/daakg
공식 코드Deep Active Alignment of Knowledge Graph Entities and Schemata
https://github.com/nju-websoft/dift
공식 코드https://github.com/nju-websoft/epr-kgqa
공식 코드Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
https://github.com/nju-websoft/eventea
공식 코드EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs
https://github.com/nju-websoft/exea
공식 코드Generating Explanations to Understand and Repair Embedding-based Entity Alignment
https://github.com/nju-websoft/kire
공식 코드Enhancing Document-level Relation Extraction by Entity Knowledge Injection
https://github.com/nju-websoft/knowla
공식 코드KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
https://github.com/nju-websoft/lkge
공식 코드Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
https://github.com/nju-websoft/mbe
공식 코드Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
https://github.com/nju-websoft/mmrag
공식 코드https://github.com/nju-websoft/mstar
공식 코드Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
https://github.com/nju-websoft/mukg
공식 코드$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications
https://github.com/nju-websoft/mukge
공식 코드https://github.com/nju-websoft/tkgc
공식 코드Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
https://github.com/nju-websoft/unify-ea-sf
공식 코드https://github.com/nk-ruiying/tcompounde
공식 코드Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
https://github.com/nle-ml/mmkb
공식 코드Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
https://github.com/nlp-rl/ki-ddi
공식 코드Towards Knowledge-Infused Automated Disease Diagnosis Assistant
https://github.com/nlp-tlp/cleangraph
공식 코드CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion
https://github.com/nmerkle/sw_journal
공식 코드https://github.com/nnnoidea/stateful-KGQA
공식 코드https://github.com/nslab-cuk/connector
공식 코드Connector 0.5: A unified framework for graph representation learning
https://github.com/nslab-cuk/halal-or-not
공식 코드Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.