KG-BERT: BERT for Knowledge Graph Completion本文前置知识: BERT: 详见ELMo, GPT, BERT. 本文是论文KG-BERT: BERT for Knowledge Graph Completion的阅读笔记和个人理解. Basic Idea在先前的KGE方法中,2020-11-28 知识图谱BERT KGE
ConvE: Convolutional 2D Knowledge Graph Embeddings本文前置知识: CNN 本文是论文Convolutional 2D Knowledge Graph Embeddings的阅读笔记和个人理解. 与之前在AcrE中提到的ConvE不同, 本文重新对整篇论文进行叙述, 而非仅介绍论文中2020-11-27 知识图谱KGE CNN
深度可分离卷积与分组卷积本文前置知识: CNN: 详见卷积神经网络小结. 本文着重介绍深度可分离卷积和分组卷积两种操作. 深度可分离卷积深度可分离卷积(Depthwise Separable Convolution)应用在MobileNet和Xceptio2020-11-26 深度学习CNN
Pytorch实现: Transformer本文前置知识: Pytorch基本操作 Transformer: 详见Transformer精讲 2022.04.03: 去掉了Pre Norm比Post Norm效果好的表述. Pytorch实现: Transformer本文是T2020-11-23 深度学习NLP Transformer Pytorch
KEPLER: Knowledge Embedding and Pre-trained Language Representation本文前置知识: BERT(详见ELMo, GPT, BERT) KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representat2020-11-21 知识图谱NLP BERT KGE
KGE预警论文两则本文是两篇KGE方向的预警论文的阅读笔记和个人理解. 预警类的工作其实是比较少见的, 对领域的发展也非常有指导意义. 2020.11.22: 更新Reciprocal Relation. 2021.05.13: 修正Reciprocal2020-11-20 知识图谱KGE
Pytorch实现: Skip-Gram本文前置知识: Pytorch基本操作 Word2Vec Pytorch实现: Skip-Gram本文用Pytorch实现了Skip - Gram, 它是Word2Vec的其中一种. 本文实现参考PyTorch 实现 Word2Ve2020-11-19 深度学习Word2Vec Pytorch
RoBERTa: A Robustly Optimized BERT Pretraining Approach本文前置知识: BERT(详见ELMo, GPT, BERT) RoBERTa: A Robustly Optimized BERT Pretraining Approach本文是论文RoBERTa: A Robustly Opti2020-11-18 深度学习NLP BERT
Integrating Image-Based and Knowledge-Based Representation Learning本文前置知识: AlexNet(详见卷积神经网络发展史) Attention(详见Seq2Seq和Attention) TransE(详见TransE: Translating Embeddings for Modeling Multi2020-11-13 知识图谱KGE 多模态
TransE: Translating Embeddings for Modeling Multi-relational DataTransE: Translating Embeddings for Modeling Multi-relational Data本文是论文Translating Embeddings for Modeling Multi-relation2020-11-13 知识图谱KGE
CoKE: Contextualized Knowledge Graph Embedding本文前置知识: Self - Attention BERT 2020.11.17: 解决了标签泄露的疑惑. 2021.04.09: 修正可视化实验的描述. CoKE: Contextualized Knowledge Graph E2020-11-11 知识图谱KGE Transformer
ConvKB: A Novel Embedding Model for KB Completion Based on CNN本文前置知识: ConvE Conv1d 2021.03.15: 指出权重共享并没有出现在源码中. A Novel Embedding Model for Knowledge Base Completion Based on Con2020-11-07 知识图谱KGE