Papers with Code 아카이브
Knowledge Graph Completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 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: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ibpa/kglm
공식 코드KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
https://github.com/idea-finai/cats
공식 코드https://github.com/idirlab/kgcompletion
공식 코드Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
https://github.com/intfloat/simkgc
공식 코드SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
https://github.com/iodike/chronokge
공식 코드Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
https://github.com/ionutiga/llms-for-kgc
공식 코드https://github.com/ireklos/pathe
공식 코드PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
https://github.com/irenezihuili/nnkgc
공식 코드NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods
https://github.com/irokin/GPFL
공식 코드Towards Learning Instantiated Logical Rules from Knowledge Graphs
https://github.com/irokin/RuleHierarchy
공식 코드Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
https://github.com/jayachaturvedi/pain_in_mental_health
공식 코드https://github.com/jaysaligia/ppt
공식 코드Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
https://github.com/jiaangl/report
공식 코드Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers
https://github.com/jiapuwang/awesome-tkgc
공식 코드A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
https://github.com/jiaruzouu/prb
공식 코드https://github.com/junkangwu/DisenKGAT
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/justinlovelace/robust-kg-completion
공식 코드Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
https://github.com/kang205/MoHR
공식 코드Recommendation Through Mixtures of Heterogeneous Item Relationships
https://github.com/kcacozhang/lgre
공식 코드Learning Granularity Representation for Temporal Knowledge Graph Completion
https://github.com/kgrl2021/submission-one
공식 코드A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things
https://github.com/kilicogluh/lbd-covid
공식 코드Drug Repurposing for COVID-19 via Knowledge Graph Completion
https://github.com/kkteru/grail
공식 코드https://github.com/kmswin1/comdense
공식 코드https://github.com/lautel/meg
공식 코드MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
https://github.com/lb0828/ftg
공식 코드https://github.com/lenazellinger/counterfactual_kgr
공식 코드https://github.com/ling-cai/time2box
공식 코드Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
https://github.com/lion-zs/er
공식 코드https://github.com/lion-zs/gie
공식 코드https://github.com/lirt1231/kermit
공식 코드KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
https://github.com/liseda-lab/seek
공식 코드Explainable Representations for Relation Prediction in Knowledge Graphs
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/lrlbbzl/unibi_ogb
공식 코드https://github.com/luffycodes/neptune
공식 코드NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.