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Knowledge Graph Embeddings
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AnselCmy/FedE
공식 코드https://github.com/ArchitParnami/Node2KG
공식 코드Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
https://github.com/AynurGuluzade/DARLING
공식 코드Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
https://github.com/DominikFilipiak/KGTN-ens
공식 코드KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
https://github.com/HELL-TO-HEAVEN/KGE-CL
공식 코드KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
https://github.com/KRR-Oxford/DeepOnto
공식 코드Contextual Semantic Embeddings for Ontology Subsumption Prediction
https://github.com/KokiKishimoto/cp_decomposition
공식 코드https://github.com/KokiKishimoto/cp_decomposition_alpha
공식 코드https://github.com/LivNLP/Relational-Walk-for-Knowledge-Graphs
공식 코드RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
https://github.com/MIRALab-USTC/KGE-HAKE
공식 코드Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/NIVA-Knowledge-Graph/TERA
공식 코드Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
https://github.com/Pzoom522/ProcrustEs-KGE
공식 코드Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
https://github.com/SmartDataAnalytics/LiteralE
공식 코드https://github.com/THU-KEG/KEPLER
공식 코드KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
https://github.com/TimDettmers/ConvE
공식 코드https://github.com/YueLiu/NeuralTripleTranslation
공식 코드Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
https://github.com/adaruna3/continual-kge
공식 코드https://github.com/aistairc/RDF-star2Vec
공식 코드https://github.com/aistairc/kgrc-rdf-star
공식 코드https://github.com/alexanderimanicowenrivers/Neural-Variational-Knowledge-Graphs
공식 코드Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
https://github.com/alexrenz/NuPS
공식 코드NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
https://github.com/alipay/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
공식 코드PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
https://github.com/amberyzheng/bloomgml
공식 코드BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
https://github.com/andreeaiana/rdf2vec-materialization
공식 코드https://github.com/april-tools/gekcs
공식 코드How to Turn Your Knowledge Graph Embeddings into Generative Models
https://github.com/aryopg/biokge
공식 코드https://github.com/astrazeneca/biomedical-kg-topological-imbalance
공식 코드Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
https://github.com/astrazeneca/kgem-in-drug-discovery
공식 코드Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
https://github.com/bhushank/kge-rl
공식 코드Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
https://github.com/cai-lw/KBGAN
공식 코드https://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/cynricfu/fedhgn
공식 코드FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
https://github.com/daiquocnguyen/QuatRE
공식 코드QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
https://github.com/davidlamprecht/linkedpaperswithcode
공식 코드Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph
https://github.com/dchang56/snomed_kge
공식 코드Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
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