https://github.com/csu-nlp-group/medikal
공식 코드medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/d-gurgurov/Injecting-Commonsense-Knowledge-into-LLMs
공식 코드Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
https://github.com/d3mlab/cr-lt-kgqa
공식 코드https://github.com/daehuikim/WikiOFGraph
공식 코드https://github.com/daiquocnguyen/QGNN
공식 코드https://github.com/daiquocnguyen/QuatRE
공식 코드QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
https://github.com/dair-iitd/tkbi
공식 코드Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
https://github.com/danieladam2001/llm-based-validation
공식 코드Traceable LLM-based validation of statements in knowledge graphs
https://github.com/danilo-dessi/skg
공식 코드https://github.com/data-engineering-and-semantics/openkgbiblio
공식 코드https://github.com/davendw49/PK-Chat
공식 코드PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
https://github.com/davidlamprecht/autordf2gml
공식 코드AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
https://github.com/davidlamprecht/rdf-gnn-recommendation
공식 코드Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
https://github.com/davidlvxin/TransC
공식 코드Differentiating Concepts and Instances for Knowledge Graph Embedding
https://github.com/dchang56/snomed_kge
공식 코드Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
https://github.com/de-tum/gnce
공식 코드Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
https://github.com/de-tum/mperl
공식 코드Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
https://github.com/debayan/pnel
공식 코드PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
https://github.com/debayan/sigir2022-sparqlbaselines
공식 코드https://github.com/declare-lab/dialog-HGAT
공식 코드Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
https://github.com/deepakn97/relationPrediction
공식 코드Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
https://github.com/deepgraphlearning/astarnet
공식 코드A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
https://github.com/deeplearnxmu/dmd
공식 코드A Dual-Perspective Metaphor Detection Framework Using Large Language Models
https://github.com/dellixx/tkbc-lie
공식 코드https://github.com/dellixx/transerr
공식 코드TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
https://github.com/deperiaskerre/qkg
공식 코드https://github.com/dersuchendee/knowledge-augmented-generation
공식 코드Enhancing multimodal analogical reasoning with Logic Augmented Generation
https://github.com/dfdazac/blp
공식 코드Inductive Entity Representations from Text via Link Prediction
https://github.com/dfdazac/mpqe
공식 코드https://github.com/dice-group/Convolutional-Complex-Knowledge-Graph-Embeddings
공식 코드https://github.com/dice-group/Leopard
공식 코드https://github.com/dice-group/MST5
공식 코드MST5 -- Multilingual Question Answering over Knowledge Graphs
https://github.com/dice-group/NLIWOD
공식 코드https://github.com/dice-group/OOV-In-Link-Prediction
공식 코드https://github.com/dice-group/PYKE
공식 코드https://github.com/dice-group/aswa
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.