论文周报——Sharing Graphs using Differentially Private Graph Models - 代码天地

论文周报——Sharing Graphs using Differentially Private Graph Models

其他 2019-03-25 09:11:01 阅读次数: 0

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转载自blog.csdn.net/m0_38068229/article/details/81219754

论文周报——Sharing Graphs using Differentially Private Graph Models

关于《Differentially private empirical risk minimization》论文分析报告

论文解读《Differentially Private Label Protection in Split Learning》

数据结构：图：图形和图形模型（Graphs and Graph Models）

【论文下饭】Temporal Graph Network for Deep Learning on Dynamic Graphs

Differentially Private Access Patterns for Searchable Symmetric Encryption - Note

FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework

【论文下饭】A Systematic Survey on Deep Generative Models for Graph Generation

图及其衍生算法（Graphs and graph algorithms）

Temporal Graph Networks for Deep Learning on Dynamic Graphs

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

论文阅读和分析：Mathematical formula recognition using graph grammar

【论文分享】异质图上的小样本学习：HG-Meta: Graph Meta-learning over Heterogeneous Graphs

The More You Know: Using Knowledge Graphs for Image Classification ——用知识图谱进行图像分类论文阅读笔记

GraphRNN: Generating Realistic Graphs with Deep Auto-Regressive Models

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Using C++ Models in QML

graph2vec: Learning Distributed Representations of Graphs 代码解读

How to do Deep Learning on Graphs with Graph Convolutional Networks

How to do Deep Learning on Graphs with Graph Convolutional Networks Part 2:

《Graph Representation Learning》【4】——Multi-relational Data and Knowledge Graphs

OGB数据集《Open Graph Benchmark: Datasets for Machine Learning on Graphs》

《Learning Deep Structured Semantic Models for Web Search using Clickthrough Data 》论文总结

【论文笔记】Beyond credential stuffing: Password similarity models using neural networks

论文阅读 | FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms

【论文阅读】RePaint: Inpainting using Denoising Diffusion Probabilistic Models（CVPR 2022）

【论文笔记】Text Detoxification using Large Pre-trained Neural Models

[论文解析] Null-text Inversion for Editing Real Images using Guided Diffusion Models

graph isomorphic（using adjacency matrix）

论文笔记：STAR: Secret Sharing for Private Threshold Aggregation Reporting

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