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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JieyuZ2/TMN
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
https://github.com/SY1706203/GATNE
Representation Learning for Attributed Multiplex Heterogeneous Network
https://github.com/THUDM/GATNE
Representation Learning for Attributed Multiplex Heterogeneous Network
https://github.com/appier/compatibility-family-learning
Learning Compatibility Across Categories for Heterogeneous Item Recommendation
https://github.com/dmlc/dgl/tree/master/examples/pytorch/GATNE-T
Representation Learning for Attributed Multiplex Heterogeneous Network
https://github.com/hamedrab/forec
https://github.com/khatria/Retrieving-Similar-E-Commerce-Images-Using-Deep-Learning
https://github.com/mankmonjre/k-DPP-reco-engine
Low-Rank Factorization of Determinantal Point Processes for Recommendation
https://github.com/mickeysjm/taxoexpan
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
https://github.com/splintr-ml/splintr/blob/master/splintr/dataparallel/isubnet.py
Distributed Learning of Deep Neural Networks using Independent Subnet Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.