# Graph Learning 第一讲 - 代码天地

# Graph Learning 第一讲

业界资讯 2023-04-16 16:40:55 阅读次数: 0

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转载自blog.csdn.net/KuAI_KST/article/details/118575795

# Graph Learning 第一讲

《Graph Learning》| 第一章：缤纷的图世界

Graph machine learning 工具

Curriculum Learning and Graph Neural Networks (or Graph Structure Learning)

《Graph Representation Learning》【1】——Introduction

《Graph Representation Learning》【8】——Traditional Graph Generation Approaches

《Graph Representation Learning》【6】——Graph Neural Networks in Practice

《Graph Representation Learning》【5】——The Graph Neural Network Model

Relational inductive biases, deep learning, and graph networks

Deep Learning of Graph Matching 阅读笔记

Deep Learning 和 Knowledge Graph howto

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

KBGAN: Adversarial Learning for Knowledge Graph Embeddings理解

「Deep Learning」Note on Graph Convolutional Networks

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

《Deep Learning of Graph Matching》论文阅读

Hierarchical Graph Representation Learning with Differentiable Pooling摘要

《Graph Representation Learning》【3】——Neighborhood Reconstruction Methods

《Graph Representation Learning》【2】——Background and Traditional Approaches

Inductive and Unsupervised Representation Learning on Graph Structured Objects

Temporal Graph Networks for Deep Learning on Dynamic Graphs

《Few-Shot Learning with Graph Neural Networks》

【GNN】Recent Advances in Reliable Deep Graph Learning

《Graph Learning专栏》：高密子图挖掘

《Graph learning》| 图传播算法（下）

《Graph Learning》| 图传播算法（上）

GraphCL方法介绍（Graph Contrastive Learning with Augmentations）

Self-supervised Graph Learning for Recommendation(SGL)

图联邦学习（Federated Graph Learning）

【论文导读】- A vertical federated learning framework for graph convolutional network（一种用于图卷积网络的纵向联邦学习框架）

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