Papers with Code 아카이브
Knowledge Graphs
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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/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/TaoMiner/inferwiki
공식 코드Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
https://github.com/TaoMiner/joint-kg-recommender
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 코드https://github.com/Wentao-Xu/SEEK
공식 코드https://github.com/YZ-Cai/SimGRAG
공식 코드SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
https://github.com/YaserJaradeh/LinkingODPublishers
공식 코드Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
https://github.com/YilunZhou/path-naturalness-prediction
공식 코드Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness
https://github.com/YueLiu/NeuralTripleTranslation
공식 코드Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
https://github.com/YunqiuXu/SHA-KG
공식 코드Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
https://github.com/Yusics/bist-parser
공식 코드https://github.com/YuxingLu613/KARMA
공식 코드KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
https://github.com/ZihaoWang/Few-shot-KGC
공식 코드Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
https://github.com/ZihengZZH/industry-eval-EA
공식 코드https://github.com/a-brassard/copa-sse
공식 코드COPA-SSE: Semi-structured Explanations for Commonsense Reasoning
https://github.com/ab-10/Hawk
공식 코드https://github.com/acharkq/training-free-graph-matching
공식 코드https://github.com/acolas1/EventNarrative
공식 코드EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
https://github.com/acolas1/kgsimple
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.