# Graph Convolutional Matrix Completion

## #Graph #Machine Learning #Neural Networks #Graph Neural Networks #Matrix Completion

Our topic for this session is Graph Convolutional Matrix Completion (arXiv:1706.02263).

Use the following timezone tool or click on the “Add to Calendar” button on the sidebar.

Published:
by NeuronStar;

: 2021-12-18T14:00:00 - 2021-12-18T15:30:00 (CET)
: Lark（飞书）
: More details on page
Conditional Probability Estimation

**References:**

- vandenBergR2017 van den Berg R, Kipf TN, Welling M. Graph Convolutional Matrix Completion. arXiv [stat.ML]. 2017. Available: http://arxiv.org/abs/1706.02263
- matrix_completion_wiki Contributors to Wikimedia projects. Matrix completion. In: Wikipedia [Internet]. 9 Nov 2021 [cited 12 Dec 2021]. Available: https://en.wikipedia.org/wiki/Matrix_completion

**Current Ref:**

- cpe/27.graph-convolutional-matrix-completion.md

**Links to:**

###### Graph Neural Networks: Basics

This will be the beginning of a new topic: Graph Neural Networks. In this new series, we will use …

###### Graph Neural Networks: Basics (2)

We will continue the discussion on Graph Neural Networks. Problems of using Graphs Graph Neural …

###### Graph Neural Networks

Chapter 5 of Hamilton1. Hamilton2020 Hamilton WL. Graph representation learning. Synth lect …

###### Graph Neural Networks: PyTorch

PyTorch tutorials on GNN

###### Graph Neural Networks: Theoretical Motivations

Theoretical motivations of GNN

###### Graph Neural Networks: Theoretical Motivations (Part 2)

Theoretical motivations of GNN