13.Hierarchical Graph Representation Learning with Differentiable Pooling - 代码天地

13.Hierarchical Graph Representation Learning with Differentiable Pooling

其他 2018-12-01 11:11:32 阅读次数: 0

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转载自blog.csdn.net/weixin_40740160/article/details/83022408

13.Hierarchical Graph Representation Learning with Differentiable Pooling

Hierarchical Graph Representation Learning with Differentiable Pooling摘要

DIFFPOOL - Hierarchical Graph Representation Learning with Differentiable Pooling NIPS 2018

[DIFFPOOL] - Hierarchical Graph Representation Learning with Differentiable Pooling 图分类 NeurIPS 2018

《Graph Representation Learning》【1】——Introduction

Video Representation Learning Using Discriminative Pooling 阅读

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

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

Inductive and Unsupervised Representation Learning on Graph Structured Objects

《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

阅读论文 GraphGAN: Graph Representation Learning with Generative Adversarial Nets

《GraphGAN：Graph Representation Learning with Generative Adversarial Nets》论文阅读笔记

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

AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention

Hierarchical Attention Based Semi-supervised Network Representation Learning

GNN中的Graph Pooling

Graph-001-Graph-Representation

Graph representation and definition

Graph Theory: Representation and Algorithms

《Fast graph representation learning with PyTorch Geometric》阅读笔记【PyG-paper】

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation

An end-to-end heterogeneous graph representation learning-based framework for drug–target interactio

DySAT: Deep Neural Representation Learning on Dynamic Graph via Self-Attention Networks

【增量学习】2022 KDD Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

2021-ACS-IGN: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate

InfoGraph方法部分（Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Info）

【论文导读】- dyngraph2vec: Capturing network dynamics using dynamic graph representation learning

Learning world representation

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