xx55511

gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

KnowledgeGraph_NER

中文医学知识图谱命名实体识别，包括bi-LSTM+CRF，transformer+CRF等模型

machine-learning-model

机器学习算法模型的知识图谱（思维导图）构建

mustard

mustard - Machine learning Using Svms To Analyse Rdf Data

new-study

QA

基于故障诊断知识图谱的问答系统

rgcn_paddlepaddle

PaddlePaddle-based implementation of Modeling Relational Data with Graph Convolutional Networks

RGTN-NIE

Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation

semantic-PASCAL-Part

This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.

Shukongdashi

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

xx55511/gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

xx55511/KnowledgeGraph_NER

中文医学知识图谱命名实体识别，包括bi-LSTM+CRF，transformer+CRF等模型

xx55511/machine-learning-model

机器学习算法模型的知识图谱（思维导图）构建

xx55511/mustard

mustard - Machine learning Using Svms To Analyse Rdf Data

xx55511/new-study

xx55511/QA

基于故障诊断知识图谱的问答系统

xx55511/rgcn_paddlepaddle

PaddlePaddle-based implementation of Modeling Relational Data with Graph Convolutional Networks

xx55511/RGTN-NIE

Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation

xx55511/semantic-PASCAL-Part

This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.

xx55511/Shukongdashi

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

xx55511/uie_pytorch

PaddleNLP UIE模型的PyTorch版实现