2020-06-14 · Introduce a series of effective graph-structured networks, including non-local neural networks, spatial generalized propagation networks, etc.

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Postdoctoral Fellow at UC Berkeley

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs.

An Example of Graph Convolutional Networks

2020-10-22 ·
We're going to look under the hood of Graph Convolutional Networks (GCNs). In this post, we're going to look under the hood of Graph Convolutional Networks ...

PyTorch Geometric

Geometric deep learning extension library for PyTorch.

Transformers are Graph Neural Networks

2020-09-12 ·
My engineering friends often ask me: deep learning on graphs sounds great, but are there any real applications?