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- [Graph-based Neural Networks](https://github.com/sungyongs/graph-based-nn)
- [Graph Convolution Networks](http://tkipf.github.io/graph-convolutional-networks/) by Thomas Kipf
- [Geometric Deep Lea…
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Hi,
I am a beginner in Graph Neural Networks. Let's say I have a simple undirected graph with n number of node. How can I apply the Graph Neural Network on a graph with nodes having different featu…
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## Meta
- Link: https://medium.com/pinterest-engineering/pinsage-a-new-graph-convolutional-neural-network-for-web-scale-recommender-systems-88795a107f48
- Author:
- Date:
## どんなもの？（3行ぐらいで）
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**Submitting author:** @leadang42 (Lea Dang)
**Repository:** https://github.com/ankilab/EvoVis.git
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** Pending
**Review…
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### Building a graph related package based on Ray
Graph data are ubiquitous and thus have attracted more and more attention from both academia and industry.
Recently, KDD cup includes an AutoGra…
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Community detection is an important application of GNNs. In the paper "Supervised Community Detection with Line Graph Neural Networks", published at ICLR 2019, LGNN is proposed. LGNN operates simultan…
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## 🚀 Feature
Support for Generative Models
## Motivation
**DGL** is intuitive to use and there are some great examples. However, **DGL** lacks generative models.
I am wondering whether there …
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Hi Thomas,
I am new in graph neural network field and I was going through different kinds of graph networks proposed by you. I want to solve very simple problem using graph networks. The problem lo…
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# Universality of Neural Networks on Sets vs. Graphs | ICLR Blogposts 2023
Universal function approximation is one of the central tenets in theoretical deep learning research. It is the question of w…
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Pose a question about the one of the following possible readings: “[Dropout: A Simple Way to Prevent Neural Networks from Overfitting (Links to an external site.)](https://www.jmlr.org/papers/volume15…