DaNing
CoPER: Contextual Parameter Generation for Knowledge Graph Link Prediction CoPER: Contextual Parameter Generation for Knowledge Graph Link Prediction
本文前置知识: ConvE: 详见ConvE: Convolutional 2D Knowledge Graph Embeddings Contextual Parameter Generation for Knowledge Gr
2021-03-28 知识图谱
KGE
R-GCN: Modeling Relational Data with Graph Convolutional Networks R-GCN: Modeling Relational Data with Graph Convolutional Networks
本文前置知识: GNN: 详见图神经网络入门 Modeling Relational Data with Graph Convolutional Networks本文是论文Modeling Relational Data with
2021-03-16 知识图谱
KGE GNN
RotatE: Relational Rotation in Complex Vector Space RotatE: Relational Rotation in Complex Vector Space
RotatE: Knowledge Grpah Embedding by Relational Rotation Complex Space本文是论文ROTATE: KNOWLEDGE GRAPH EMBEDDING BY RELATION
2021-03-16 知识图谱
KGE
SACN: End-to-end Structure-Aware Convolutional Networks for KBC SACN: End-to-end Structure-Aware Convolutional Networks for KBC
本文前置知识: GNN: 详见图神经网络入门 ConvE: 详见ConvE: Convolutional 2D Knowledge Graph Embeddings ConvKB: 详见ConvKB: A Novel Embedding
2021-03-15 知识图谱
KGE GNN
Pytorch实现: BERT Pytorch实现: BERT
本文前置知识: Transformer: 详见Transformer精讲 BERT: 详见ELMo, GPT, BERT Pytorch实现: Transformer 2022.04.03: 修正Pre Norm效果好于Post No
2021-03-12 深度学习
NLP Transformer Pytorch
ConvR: Adaptive Convolution for Multi-Relational Learning ConvR: Adaptive Convolution for Multi-Relational Learning
本文前置知识: ConvE: 详见ConvE: Convolutional 2D Knowledge Graph Embeddings ConvR: Adaptive Convolution for Multi-Relational
2021-03-09 知识图谱
KGE
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding
2021.03.09: 修正关于引入逆三元组的影响. 2021.04.18: 更新一篇更早的类似论文GAKE. LightCAKE: A Lightweight Framework for Context-Aware Knowledge
2021-03-08 知识图谱
KGE
Introduction: Graph Neural Network Introduction: Graph Neural Network
本文前置知识: 图结构基础知识(数据结构相关内容, 自行查阅). 2021.04.06: 更新GraphSAGE的理解. Introduction: Graph Neural Network本文介绍的是GNN方面入门级别的知识, 其
2021-03-04 深度学习
GNN
ConvBERT: Improving BERT with Span-based Dynamic Convolution ConvBERT: Improving BERT with Span-based Dynamic Convolution
ConvBERT: Improving BERT with Span-based Dynamic Convolution 本文前置知识: Light Weight Convolution: 详见基于轻量级卷积和动态卷积替代的注意力机制.
2021-02-12 深度学习
NLP CNN Attention
PPKE: Knowledge Representation Learning by Path-based Pre-training PPKE: Knowledge Representation Learning by Path-based Pre-training
本文前置知识: BERT(Transformer Encoder). PPKE: Knowledge Representation Learning by Path-based Pre-training本文是论文PPKE: Know
2021-01-18 知识图谱
KGE
Argparse和Logging Argparse和Logging
Argparse和LoggingArgparse和Logging是Python实验中常用的两个模块. 之前没有整理过, 特此整理. ArgparseArgparse是用来解析Python命令行的标准库. 框架大致使用框架如下: impor
2021-01-06 编程
Python
RREA: Relational Reflection Entity Alignment RREA: Relational Reflection Entity Alignment
本文前置知识: GNN Relational Reflection Entity Alignment本文是论文Relational Reflection Entity Alignment的阅读笔记和个人理解. 这是我第一次接触关于实
2020-12-30 知识图谱
实体对齐
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