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Triple Classification
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Triple classification aims to judge whether a given triple (h, r, t) is correct or not with respect to the knowledge graph.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mianzg/kgbiasdetec
공식 코드https://github.com/mutiann/ccc
공식 코드On the Role of Conceptualization in Commonsense Knowledge Graph Construction
https://github.com/neph0s/lmke
공식 코드https://github.com/nicolas-hbt/versatile-embeddings
공식 코드Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
https://github.com/niva-knowledge-graph/kgs_and_effect_prediction_2020
공식 코드Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
https://github.com/nju-websoft/HyperKA
공식 코드Knowledge Association with Hyperbolic Knowledge Graph Embeddings
https://github.com/nju-websoft/knowla
공식 코드KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
https://github.com/nju-websoft/mukg
공식 코드$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications
https://github.com/nju-websoft/unify-ea-sf
공식 코드https://github.com/nle-ml/mmkb
공식 코드Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
https://github.com/nlp-rl/ki-ddi
공식 코드Towards Knowledge-Infused Automated Disease Diagnosis Assistant
https://github.com/onixhoque/sptransx-mlsys2025-reproduce
공식 코드https://github.com/perubhardwaj/attributionattack
공식 코드Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
https://github.com/perubhardwaj/inferenceattack
공식 코드Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
https://github.com/peyman-bi/sattle
공식 코드Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
https://github.com/pykeen/pykeen
공식 코드https://github.com/rajathpatel23/joint-kge-fnet-lm
공식 코드https://github.com/rezacsedu/DDI-prediction-KG-embeddings-Conv-LSTM
공식 코드Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
https://github.com/salesforce/MultiHopKG
공식 코드https://github.com/saptarshi059/cdqa-project
공식 코드Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings
https://github.com/sevinjt/owl2vec4oa
공식 코드OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
https://github.com/sky-fish23/eike
공식 코드Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
https://github.com/sntcristian/and-kge
공식 코드A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals
https://github.com/tamsiuhin/kracl
공식 코드KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
https://github.com/tensorflow/neural-structured-learning
공식 코드https://github.com/thunlp/CKRL
공식 코드Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence
https://github.com/thunlp/IKRL
공식 코드https://github.com/thunlp/OpenKE
공식 코드https://github.com/tsafavi/cascader
공식 코드CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction
https://github.com/tsafavi/codex
공식 코드https://github.com/uma-pi1/grash
공식 코드Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/vid-koci/kbctransferlearning
공식 코드Pre-training and Diagnosing Knowledge Base Completion Models
https://github.com/wangskyGit/KeHGN-R
공식 코드https://github.com/wentao-xu/kge-cl
공식 코드KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
https://github.com/wzh-nlp/ookg
공식 코드Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.