Knowledge Graph Embedding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 1
- 보존된 평가 기록
- 1
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nju-websoft/cole
공식 코드I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning
https://github.com/nju-websoft/mukg
공식 코드$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications
https://github.com/nk-ruiying/tcompounde
공식 코드Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
https://github.com/nle-ml/mmkb
공식 코드Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
https://github.com/nslab-cuk/literalkg
공식 코드https://github.com/oliver-lloyd/kge_param_sens
공식 코드Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality
https://github.com/otamio/kga
공식 코드https://github.com/paramita08/wikidata_bias_websci_2023
공식 코드Diversity matters: Robustness of bias measurements in Wikidata
https://github.com/pat-jj/KG-FIT
공식 코드KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
https://github.com/pbaghershahi/TGCN
공식 코드Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
https://github.com/pcy1302/TransCF
공식 코드https://github.com/pengyanhui/LineaRE
공식 코드LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
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/benchmarking
공식 코드https://github.com/pykeen/pykeen
공식 코드https://github.com/pykeen/ranking-metrics-manuscript
공식 코드A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs
https://github.com/rajathpatel23/joint-kge-fnet-lm
공식 코드https://github.com/renli1024/se-gnn
공식 코드How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
https://github.com/ritatsousa/expressionKGplus
공식 코드Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
https://github.com/rutgerswiselab/NS-KGE
공식 코드https://github.com/scwu1008/kadm
공식 코드Unify Local and Global Information for Top-$N$ Recommendation
https://github.com/seeyourmind/ptbox
공식 코드https://github.com/seukgcode/fastkge
공식 코드Fast and Continual Knowledge Graph Embedding via Incremental LoRA
https://github.com/seukgcode/incde
공식 코드Towards Continual Knowledge Graph Embedding via Incremental Distillation
https://github.com/sh-je/eans
공식 코드https://github.com/shaoxiongji/awesome-knowledge-graph
공식 코드A Survey on Knowledge Graphs: Representation, Acquisition and Applications
https://github.com/sharecodesubmission/weighted_product_manifold
공식 코드Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold
https://github.com/shawnkx/Decom
공식 코드Decompressing Knowledge Graph Representations for Link Prediction
https://github.com/soledad921/ATISE
공식 코드Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
https://github.com/soledad921/ATISE/blob/master/README.md
공식 코드TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
https://github.com/stasl0217/beurre
공식 코드Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
https://github.com/systemsecuritystorm/awesome-binary-similarity
공식 코드VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity
https://github.com/tewiSong/Rot-Pro
공식 코드Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
https://github.com/tgebhart/sheaf_kg
공식 코드Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.