interferometric-graph-transform

This repository contains the code corresponding to the ICML-2020 publication: https://arxiv.org/abs/2006.05722

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Implementation of Open-Set Likelihood Maximization for Few-Shot Learning

Representation learning on large graphs using stochastic graph convolutions.

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Minimal and easy-to-understand PyTorch implementations of popular Graph Neural Networks

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

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Code for Online Graph Dictionary Learning

Implementation of learnable generalized geometric scattering transforms on graphs

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