Knowledge Graph Embedding
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/anrep/house
공식 코드HousE: Knowledge Graph Embedding with Householder Parameterization
https://github.com/ansonb/hopfe
공식 코드HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
https://github.com/aoluming/IDKG
공식 코드https://github.com/apoorvumang/kgt5
공식 코드Sequence-to-Sequence Knowledge Graph Completion and Question Answering
https://github.com/april-tools/gekcs
공식 코드How to Turn Your Knowledge Graph Embeddings into Generative Models
https://github.com/armitakhn/gilbert
공식 코드https://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/bdi-lab/bive
공식 코드Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction
https://github.com/bdi-lab/hynt
공식 코드Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
https://github.com/bdi-lab/ingram
공식 코드InGram: Inductive Knowledge Graph Embedding via Relation Graphs
https://github.com/borealisai/staypositive
공식 코드Stay Positive: Knowledge Graph Embedding Without Negative Sampling
https://github.com/box-el/boxel
공식 코드https://github.com/cai-lw/KBGAN
공식 코드https://github.com/carolinlawrence/gradient-rollback
공식 코드Explaining Neural Matrix Factorization with Gradient Rollback
https://github.com/causalkg/causallp
공식 코드CausalLP: Learning causal relations with weighted knowledge graph link prediction
https://github.com/changyi7231/nfe
공식 코드https://github.com/christopher-irw/proformer_ce
공식 코드https://github.com/daiquocnguyen/QGNN
공식 코드https://github.com/daiquocnguyen/R-MeN
공식 코드A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
https://github.com/dair-iitd/kbi
공식 코드Joint Matrix-Tensor Factorization for Knowledge Base Inference
https://github.com/data-engineering-and-semantics/openkgbiblio
공식 코드https://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/deezer/recsys21-hlr
공식 코드Hierarchical Latent Relation Modeling for Collaborative Metric Learning
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/dice-group/Convolutional-Hypercomplex-Embeddings-for-Link-Prediction
공식 코드https://github.com/dice-group/OOV-In-Link-Prediction
공식 코드https://github.com/dice-group/PYKE
공식 코드https://github.com/dice-group/dice-embeddings
공식 코드https://github.com/dice-group/universal_embeddings
공식 코드https://github.com/dwslab/jRDF2Vec
공식 코드RDF2Vec Light -- A Lightweight Approach for Knowledge Graph Embeddings
https://github.com/ellenzhuwang/lakermap
공식 코드Contextualized Structural Self-supervised Learning for Ontology Matching
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.