Papers with Code 아카이브

Knowledge Base Completion

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

Knowledge base completion is the task which automatically infers missing facts by reasoning about the information already present in the knowledge base. A knowledge base is a collection of relational facts, often represented in the form of "subject", "relation", "object"-triples.

코드

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

https://github.com/masashi-y/abduction_kbc

공식 코드

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference

https://github.com/matthiasrlalisse/hmemnetworks

공식 코드

Scalable knowledge base completion with superposition memories

https://github.com/netpaladinx/DPMPN

공식 코드

Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning

https://github.com/netpaladinx/NeuCFlow

공식 코드

Neural Consciousness Flow

https://github.com/nle-ml/mmkb

공식 코드

KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

https://github.com/pouyapez/mkbe

공식 코드

Embedding Multimodal Relational Data for Knowledge Base Completion

https://github.com/rahuln/lm-bio-kgc

공식 코드

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study

https://github.com/ralphabb/BoxE

공식 코드

BoxE: A Box Embedding Model for Knowledge Base Completion

https://github.com/takuo-h/GNN-for-OOKB

공식 코드

Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

https://github.com/thunlp/FFD

공식 코드

Fact Discovery from Knowledge Base via Facet Decomposition

https://github.com/tianran/glimvec

공식 코드

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder

https://github.com/tigerchen52/long_tail_kbc

공식 코드

Knowledge Base Completion for Long-Tail Entities

https://github.com/tkipf/relational-gcn

공식 코드

Modeling Relational Data with Graph Convolutional Networks

https://github.com/vid-koci/kbctransferlearning

공식 코드

Knowledge Base Completion Meets Transfer Learning

https://github.com/xu-song/k-plug

공식 코드

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

https://worksheets.codalab.org/worksheets/0xfcace41fdeec45f3bc6ddf31107b829f

공식 코드

Traversing Knowledge Graphs in Vector Space

https://github.com/INK-USC/MHGRN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/INK-USC/RE-Net

Modeling Relational Data with Graph Convolutional Networks

https://github.com/JiabenLi/rgcn_paddlepaddle

Modeling Relational Data with Graph Convolutional Networks

https://github.com/KXY-PUBLIC/NASE

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

https://github.com/MichSchli/RelationPrediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/Microsoft/gated-graph-neural-network-samples

Modeling Relational Data with Graph Convolutional Networks

https://github.com/MurtyShikhar/KBI

Joint Matrix-Tensor Factorization for Knowledge Base Inference

https://github.com/QustKcz/relational-GCN

Modeling Relational Data with Graph Convolutional Networks

https://github.com/Sujit-O/pykg2vec

A survey of embedding models of entities and relationships for knowledge graph completion

https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

https://github.com/allenai/commonsense-kg-completion

Commonsense Knowledge Base Completion with Structural and Semantic Context

https://github.com/anilakash/indkgc

Modeling Relational Data with Graph Convolutional Networks

https://github.com/apoorvumang/CronKGQA

Tensor Decompositions for temporal knowledge base completion

https://github.com/berlincho/RGCN-pytorch

Modeling Relational Data with Graph Convolutional Networks

https://github.com/bi-graph/emgraph

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

https://github.com/cdhx/KBGAN_for_RotatE

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

https://github.com/chalothon/Graph-Convolutional-Networks-for-Relational-Link-Prediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/dair-iitd/kbc-baseline

Knowledge Base Completion: Baseline strikes back (Again)

https://github.com/dglai/wsdm2022-challenge

Modeling Relational Data with Graph Convolutional Networks

https://github.com/dmlc/dgl/tree/master/examples/mxnet/rgcn

Modeling Relational Data with Graph Convolutional Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.