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Knowledge Graph Embedding
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fanourakis/experimental-review-ea
공식 코드Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review
https://github.com/graphcore-research/kg-topology-toolbox
공식 코드The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models
https://github.com/graphcore/distributed-kge-poplar
공식 코드BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
https://github.com/honggen-zhang/hasa-ckge
공식 코드HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
https://github.com/hopkin-ghp/QuatDE
공식 코드QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
https://github.com/huda-hakami/learning-to-borrow-for-kgs
공식 코드https://github.com/hwwang55/MKR
공식 코드Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hysonlab/biomedkg
공식 코드Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
https://github.com/iieir-km/ComplEx-NNE_AER
공식 코드Improving Knowledge Graph Embedding Using Simple Constraints
https://github.com/iieir-km/RUGE
공식 코드Knowledge Graph Embedding with Iterative Guidance from Soft Rules
https://github.com/iodike/chronokge
공식 코드Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
https://github.com/jayachaturvedi/pain_in_mental_health
공식 코드https://github.com/junkangwu/DisenKGAT
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/kamigaito/acl2021kge
공식 코드https://github.com/kamigaito/icml2022
공식 코드Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
https://github.com/kgrl2021/submission-one
공식 코드A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things
https://github.com/kkteru/grail
공식 코드https://github.com/lars-research/relens
공식 코드Relation-aware Ensemble Learning for Knowledge Graph Embedding
https://github.com/liangke23/awesome-knowledge-graph-reasoning
공식 코드A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
https://github.com/lijingzhu1/ett-ckge
공식 코드ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding
https://github.com/liseda-lab/truewalks
공식 코드Biomedical Knowledge Graph Embeddings with Negative Statements
https://github.com/llqy123/dabr
공식 코드Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
https://github.com/luoxiaoheics/stancerel
공식 코드https://github.com/malllabiisc/CompGCN
공식 코드Composition-based Multi-Relational Graph Convolutional Networks
https://github.com/memexproject/memex-kg
공식 코드Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
https://github.com/merialdo/research.lpca
공식 코드Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
https://github.com/miralab-ustc/gcn4kgc
공식 코드Rethinking Graph Convolutional Networks in Knowledge Graph Completion
https://github.com/nec-research/emu-kg
공식 코드Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
https://github.com/ngl567/cake
공식 코드CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
https://github.com/nicolas-hbt/benchmark-sematk
공식 코드Sem@$K$: Is my knowledge graph embedding model semantic-aware?
https://github.com/nicolas-hbt/semantic-lossfunc
공식 코드https://github.com/nicolas-hbt/similar-embeddings
공식 코드https://github.com/nicolas-hbt/versatile-embeddings
공식 코드Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE
https://github.com/niraj17singh/linklogic
공식 코드LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
https://github.com/niva-knowledge-graph/kgs_and_effect_prediction_2020
공식 코드Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
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