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/catarina-canastra/benchmarking-knowledge-graph-embeddings-for-gene-disease-association-prediction
공식 코드A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
https://github.com/causalgraph/causalgraph
공식 코드https://github.com/causalgraph/causalgraph-ontology
공식 코드https://github.com/causalkg/causallp
공식 코드CausalLP: Learning causal relations with weighted knowledge graph link prediction
https://github.com/cciiplab/cet
공식 코드https://github.com/cciiplab/kgic
공식 코드Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
https://github.com/chahak13/tuitus
공식 코드Enabling knowledge discovery in natural hazard engineering datasets on DesignSafe
https://github.com/changdejie/diaKG-code
공식 코드DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction
https://github.com/changyi7231/ckgc
공식 코드Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
https://github.com/chen-zichen/xplainllm_dataset
공식 코드XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
https://github.com/chenxran/ok-transformer
공식 코드Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
https://github.com/chilab1/medpix-2.0
공식 코드MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications
https://github.com/chiral-carbon/kg-for-science
공식 코드What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models
https://github.com/chrschy/fact-finder
공식 코드Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
https://github.com/chuanyus/udcea
공식 코드https://github.com/chunhualiu596/cswordassociation
공식 코드https://github.com/chuxuzhang/AAAI2020_FSRL
공식 코드https://github.com/ckosten/spider4sparql
공식 코드Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems
https://github.com/cl-tohoku/xbe
공식 코드Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction
https://github.com/claclark/cottontail
공식 코드https://github.com/clhchtcjj/BiNE
공식 코드https://github.com/cmavro/gnn-rag
공식 코드GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
https://github.com/cmavro/rearev_kgqa
공식 코드ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
https://github.com/cmavro/tempoqr
공식 코드https://github.com/cocacola-lab/collabkg
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/cods-gcs/chatty-gen
공식 코드Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs
https://github.com/cods-gcs/kglids
공식 코드KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science
https://github.com/cods-gcs/kgqan
공식 코드A Universal Question-Answering Platform for Knowledge Graphs
https://github.com/cods-gcs/kgtosa
공식 코드Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling
https://github.com/cruiseresearchgroup/i-align
공식 코드https://github.com/cs-anonymous/expath
공식 코드eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules
https://github.com/cs-edwards/advrag
공식 코드https://github.com/csjywu1/adkgd
공식 코드ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.