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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/NamyongPark/EvoKG
https://github.com/PaddlePaddle/PaddleRec/tree/master/models/match/kim
Personalized News Recommendation with Knowledge-aware Interactive Matching
https://github.com/Peter7Yao/RNM
Relation-Aware Neighborhood Matching Model for Entity Alignment
https://github.com/Phoenix1327/ML-ZSL
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
https://github.com/QustKcz/relational-GCN
https://github.com/RUCAIBox/KGSF
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
https://github.com/SSE-PT/SSE-PT
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
https://github.com/STIInnsbruck/kgs
Duplication Detection in Knowledge Graphs: Literature and Tools
https://github.com/SandraSchaftner/orkg_property_extraction_using_gpt-3.5
https://github.com/SejeongPark8354/MforDrugDev
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
https://github.com/SteveTANTAN/PoG
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
https://github.com/Sujit-O/pykg2vec
A survey of embedding models of entities and relationships for knowledge graph completion
https://github.com/TaiseiAso/BiGruAttEncDec
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
https://github.com/ThomPijnenburg/Collab-Link-Prediction
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/Thomasyyj/EEEQA
EEE-QA: Exploring Effective and Efficient Question-Answer Representations
https://github.com/Tigter/ogblwikikg2-RotPro
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
https://github.com/TuftsVALT/snowcat
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
https://github.com/U-Alberta/kg-type-err-corr
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
https://github.com/Userepic/KGAT-pytorch-master
https://github.com/WeiDongjunGabriel/MPSUM
https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1
https://github.com/YuTesla/KGNN-LS-learn
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/a19hu/Social_media_export_chat
https://github.com/abhinavnagpal/KNOWLEDGE-GRAPH-PAPERS
A Review of Relational Machine Learning for Knowledge Graphs
https://github.com/adaruna3/explainable-kge
https://github.com/adymaharana/DeepPath_PyTorch
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/aistairc/probing_sfqa
Pretrained Transformers for Simple Question Answering over Knowledge Graphs
https://github.com/alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/alisadeghian/DRUM
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
https://github.com/allenai/commonsense-kg-completion
Commonsense Knowledge Base Completion with Structural and Semantic Context
https://github.com/allenai/kb
https://github.com/anilakash/indkgc
https://github.com/anonymous-dense-submission/DensE
https://github.com/anonymous20221001/sieg_ogb
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/ant-research/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
Open Graph Benchmark: Datasets for Machine Learning on Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.