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Knowledge Graph Completion

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하위 태스크: 2
평가표: 7
보존된 평가 기록: 17

Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/astrazeneca/kgem-in-drug-discovery

공식 코드

Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery

https://github.com/bayrameda/MrAP

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Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

https://github.com/bdi-lab/ingram

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InGram: Inductive Knowledge Graph Embedding via Relation Graphs

https://github.com/bhushank/kge-rl

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Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

https://github.com/bxshi/ConMask

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Open-World Knowledge Graph Completion

https://github.com/cai-lw/KBGAN

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KBGAN: Adversarial Learning for Knowledge Graph Embeddings

https://github.com/catarina-canastra/benchmarking-knowledge-graph-embeddings-for-gene-disease-association-prediction

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A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction

https://github.com/causalkg/causallp

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CausalLP: Learning causal relations with weighted knowledge graph link prediction

https://github.com/changyi7231/ckgc

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Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models

https://github.com/chenchens190009/csprom-kg

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Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting

https://github.com/chenchens190009/kg-s2s

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Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

https://github.com/chuxuzhang/AAAI2020_FSRL

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Few-Shot Knowledge Graph Completion

https://github.com/claudmor/multi_task_multi_class_neural_directed_link_prediction

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Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction

https://github.com/code4paper-2024/code4paper

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Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing

https://github.com/cyjie429/pmd

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Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

https://github.com/cynricfu/fedhgn

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FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

https://github.com/daiquocnguyen/CapsE

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A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

https://github.com/daiquocnguyen/GNN-NoGE

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Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction

https://github.com/daiquocnguyen/QGNN

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Quaternion Graph Neural Networks

https://github.com/daiquocnguyen/QuatRE

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QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings

https://github.com/daiquocnguyen/R-MeN

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A Relational Memory-based Embedding Model for Triple Classification and Search Personalization

https://github.com/dair-iitd/KGC-Ensemble

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DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion

https://github.com/dair-iitd/NS-KGC-AUG

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Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion

https://github.com/dair-iitd/kbi

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Joint Matrix-Tensor Factorization for Knowledge Base Inference

https://github.com/dair-iitd/tkbi

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Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols

https://github.com/david-li0406/contextulization-distillation

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Contextualization Distillation from Large Language Model for Knowledge Graph Completion

https://github.com/davidlamprecht/linkedpaperswithcode

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Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph

https://github.com/davidlvxin/TransC

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Differentiating Concepts and Instances for Knowledge Graph Embedding

https://github.com/dayanayuan/raa-kgc

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Knowledge Graph Completion with Relation-Aware Anchor Enhancement

https://github.com/dchang56/snomed_kge

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Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings

https://github.com/de-tum/gnce

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Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks

https://github.com/deepakn97/relationPrediction

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Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

https://github.com/dellixx/transerr

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TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation

https://github.com/dfdazac/blp

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Inductive Entity Representations from Text via Link Prediction

https://github.com/dice-group/Convolutional-Complex-Knowledge-Graph-Embeddings

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Convolutional Complex Knowledge Graph Embeddings

https://github.com/dice-group/PYKE

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A Physical Embedding Model for Knowledge Graphs

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