Hierarchical Graph Representation Learning with Differentiable Pooling摘要 - 代码天地

Hierarchical Graph Representation Learning with Differentiable Pooling摘要

其他 2020-10-17 06:07:50 阅读次数: 0

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转载自blog.csdn.net/wanchaochaochao/article/details/81091295

Hierarchical Graph Representation Learning with Differentiable Pooling摘要

13.Hierarchical Graph Representation Learning with Differentiable Pooling

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

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

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

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

Inductive and Unsupervised Representation Learning on Graph Structured Objects

Hierarchical Attention Based Semi-supervised Network Representation Learning

《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

Video Representation Learning Using Discriminative Pooling 阅读

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

论文笔记之LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos

【论文笔记1】Learning Hierarchical Graph Neural Networks for Image Clustering

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

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