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Entity Embeddings
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Entity Embeddings is a technique for applying deep learning to tabular data. It involves representing the categorical data of an information systems entity with multiple dimensions.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/StephanieWyt/HGCN-JE-JR
공식 코드Jointly Learning Entity and Relation Representations for Entity Alignment
https://github.com/StephanieWyt/RDGCN
공식 코드Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
https://github.com/THU-KEG/KEPLER
공식 코드KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
https://github.com/bdi-lab/ingram
공식 코드InGram: Inductive Knowledge Graph Embedding via Relation Graphs
https://github.com/canlinzhang/siailp
공식 코드Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
https://github.com/chenxran/ok-transformer
공식 코드Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
https://github.com/cmavro/tempoqr
공식 코드https://github.com/codchen/CRE
공식 코드Relation Extraction with Contextualized Relation Embedding (CRE)
https://github.com/dalab/end2end_neural_el
공식 코드https://github.com/danyang-liu/KRED
공식 코드KRED: Knowledge-Aware Document Representation for News Recommendations
https://github.com/dfdazac/mpqe
공식 코드https://github.com/elsevier-ai-lab/bioblp
공식 코드BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
https://github.com/entron/entity-embedding-rossmann
공식 코드https://github.com/facebookresearch/BLINK
공식 코드Scalable Zero-shot Entity Linking with Dense Entity Retrieval
https://github.com/fhou80/EntEmb
공식 코드Improving Entity Linking through Semantic Reinforced Entity Embeddings
https://github.com/fishjh2/merge_label
공식 코드Merge and Label: A novel neural network architecture for nested NER
https://github.com/fmtumbuka/eacl_encore
공식 코드EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
https://github.com/fmtumbuka/relationembeddings
공식 코드Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
https://github.com/h324yang/HMAN
공식 코드Aligning Cross-Lingual Entities with Multi-Aspect Information
https://github.com/hkust-knowcomp/query2particles
공식 코드Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
https://github.com/huda-hakami/learning-to-borrow-for-kgs
공식 코드https://github.com/hzli-ucas/stargraph
공식 코드StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
https://github.com/iai-group/sigir2019-table2vec
공식 코드Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
https://github.com/ibalazevic/multirelational-poincare
공식 코드https://github.com/informagi/embert
공식 코드https://github.com/informagi/mmead
공식 코드https://github.com/ireklos/pathe
공식 코드PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
https://github.com/jadexin/imea
공식 코드https://github.com/jingqiangchen/kbsumm
공식 코드An entity-guided text summarization framework with relational heterogeneous graph neural network
https://github.com/joker-xii/clusterea
공식 코드ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
https://github.com/jumxglhf/grape
공식 코드Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
https://github.com/jxh4945777/ChatEA
공식 코드Unlocking the Power of Large Language Models for Entity Alignment
https://github.com/jyonn/cage
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.