人工智能研究
知识图谱-知识嵌入-基本模型 推荐论文和论文解读
2023-06-09 17:13:03
知识图谱领域，知识嵌入方向一些经典权威论文，由东南大学推荐。收集相关PDF论文和解读博客，论文列表来自 https://github.com/npubird/KnowledgeGraphCourse
Requirements Relaxing
TransM:relational mapping
TransM:mapping 笔记
ManifoldE:link prediction
2015
ManifoldE:link prediction 解读
TransF:flexible translation
2016
TransF,TransM,SSE比较
TransA: An adaptive approach
2015
TransA:Adaptive Approach解读
Neural Network
NTN:Reason with neural tensor
NIPS2013
NTN 解读
NTN 解读
SME:semantic match energy func
Machine Learning2014
NTN、SLM、SME比较
MLP:Knowledge vault web-scale
ACM2014
Knowledge vault 解读
NAM:.Probabilistic reasoning
2016
NAM Probabilistic reason 笔记
ConvE: Convolutional 2d
AAAI2018
ConvE 解读
ConvE github
pytorch
Translation
multi-relational data
NIPS2013TransE
multi-relational TransE Github
tensorflow
multi-relational TransE 解读
数据集
Translating on Hyperplanes
TransHAAAI2014
TransD:dynamic mapping matrix
ACL2015
dynamic mapping matrix笔记
translating on hyperplanes笔记
TansSparse:sparse transfer mat
AAAI2016
TransD，TransA，TranSparse
Learning entity and relation
TransRCTransRAAAI
transparse github
tensorflow
Learning entity &relation笔记
测试页面
Matrix Factorization
LFM 简单解读
LFM:. A latent factor model
NIPS2012
RESCAL: A Three-Way Model
ICML2011
RESCAL 原论文
ICML2011
RESCAL 解读
DistMult:Embedding entities
2014
DISTMULT 解读
RESCAL,LFM,DistMult比较
Gaussian Distribution
KB2E:gaussian embedding
acm2015
KB2E 论文解读
TransG: A generative model
2016
KG2E和TransG比较、代码
HolE: Holographic embedding
AAAI2016
HoIe: Holographic embeddin源码
scikit-kge
HoIE 解读
ComplEx: Complex embeddings
ICML2016
ComplEx 解读
ComplEx 翻译
ComplEx Github代码
scikit-learn
Analogical inference
ICML2017
CP、ANALOGY、SimplE比较
ANALOGY github
c++
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