https://github.com/RoyZhengGao/edge2vec
공식 코드edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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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/SDM-TIB/Falcon2.0
공식 코드Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
https://github.com/SDM-TIB/SDM-RDFizer
공식 코드EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
https://github.com/SerhadS/TechNet
공식 코드https://github.com/SmartDataAnalytics/KG-Copy_Network
공식 코드https://github.com/SmartDataAnalytics/LiteralE
공식 코드https://github.com/SmartDataAnalytics/kgirnet
공식 코드Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers
https://github.com/SoyeonTiffanyMin/TransINT
공식 코드https://github.com/Srinivas-R/AKBC-2017-Paper-14
공식 코드Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs
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/KEPLER
공식 코드KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
https://github.com/THUDM/CogKR
공식 코드Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
https://github.com/THUDM/SelfKG
공식 코드https://github.com/THUIR/RuleRec
공식 코드Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
https://github.com/TYZY89/EMGF
공식 코드Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis
https://github.com/TahsinaHashem/FaithD2T
공식 코드https://github.com/TangJiaLong/Knowledge-Projection-for-ERE
공식 코드From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
https://github.com/Taniya-Das/video_annotation
공식 코드https://github.com/Tebmer/SNRI
공식 코드Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
https://github.com/TemporalKGTeam/DyERNIE
공식 코드DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
https://github.com/TemporalKGTeam/xERTE
공식 코드xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
https://github.com/Theomat/ProgSynth
공식 코드https://github.com/TimDettmers/ConvE
공식 코드https://github.com/TmacMai/CoMPILE_Inductive_Knowledge_Graph
공식 코드Communicative Message Passing for Inductive Relation Reasoning
https://github.com/U-Alberta/KG-Type-Correction
공식 코드Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
https://github.com/UCSC-VLAA/MedReason
공식 코드MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
https://github.com/UKPLab/acl2024-DARA
공식 코드https://github.com/UKPLab/kg2text
공식 코드Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
https://github.com/UKPLab/plms-graph2text
공식 코드Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/Unknown-Data/QGCN
공식 코드https://github.com/Valentyn1997/kg-alignment-lessons-learned
공식 코드Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
https://github.com/VectorInstitute/biaskg
공식 코드BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models
https://github.com/WangXFng/ELMRec
공식 코드Enhancing High-order Interaction Awareness in LLM-based Recommender Model
https://github.com/WeiDongjunGabriel/ESA
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.