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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/genggengcss/pdkgc
공식 코드Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
https://github.com/geofila/Semantic-Counterfactuals
공식 코드Choose your Data Wisely: A Framework for Semantic Counterfactuals
https://github.com/giacoballoccu/explanation-quality-recsys
공식 코드https://github.com/gipplab/MathQA
공식 코드Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling
https://github.com/gipplab/cl-osa
공식 코드Detecting Cross-Language Plagiarism using Open Knowledge Graphs
https://github.com/gknl/smile
공식 코드SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
https://github.com/glaciohound/lerp
공식 코드Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
https://github.com/google-research/smore
공식 코드SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
https://github.com/graphcore-research/kg-topology-toolbox
공식 코드The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models
https://github.com/graphcore/distributed-kge-poplar
공식 코드BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
https://github.com/graphdeeplearning/graphtransformer
공식 코드https://github.com/graphpku/open-world-kg
공식 코드Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
https://github.com/gsp2014/NaLP
공식 코드Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
https://github.com/guanzhou-ke/knowledge-bridger
공식 코드Knowledge Bridger: Towards Training-free Missing Modality Completion
https://github.com/guilhermesfc/ontology-matching-absolute-orientation
공식 코드Ontology Matching Through Absolute Orientation of Embedding Spaces
https://github.com/guojiapub/bique
공식 코드https://github.com/gurdaspuriya/walk-and-relate
공식 코드https://github.com/gychant/CSKMTermDefn
공식 코드https://github.com/h324yang/HMAN
공식 코드Aligning Cross-Lingual Entities with Multi-Aspect Information
https://github.com/hackerchenzhuo/LaKo
공식 코드LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection
https://github.com/haltiaai/paper-ptskc
공식 코드Prompt-Time Symbolic Knowledge Capture with Large Language Models
https://github.com/haochenliu2000/kelp
공식 코드Knowledge Graph-Enhanced Large Language Models via Path Selection
https://github.com/happen2me/subgraph-retrieval-toolkit
공식 코드https://github.com/harrialx/security-risk-kg-reasoning
공식 코드https://github.com/harryshomer/kg-mixup
공식 코드Toward Degree Bias in Embedding-Based Knowledge Graph Completion
https://github.com/harryshomer/quad
공식 코드Learning Representations for Hyper-Relational Knowledge Graphs
https://github.com/harryshomer/tagnet
공식 코드Distance-Based Propagation for Efficient Knowledge Graph Reasoning
https://github.com/haseebs/OWE
공식 코드An Open-World Extension to Knowledge Graph Completion Models
https://github.com/healthylaife/ConTextual
공식 코드https://github.com/healthylaife/autofair
공식 코드Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
https://github.com/heidelberg-nlp/cckg
공식 코드https://github.com/heidelberg-nlp/graphlanguagemodels
공식 코드https://github.com/hellisotherpeople/debatekg
공식 코드DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs
https://github.com/heraclex12/NLP2SPARQL
공식 코드https://github.com/hermannkroll/rankingnarrativequerygraphs
공식 코드Ranking Narrative Query Graphs for Biomedical Document Retrieval (Technical Report)
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.