Code repo for the paper "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23.
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Updated
Jun 7, 2024 - Python
Code repo for the paper "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23.
Code repo for the paper "AIO-P: Expanding Neural Performance Predictors Beyond Image Classification", accepted to AAAI-23.
This repository is a brief tutorial about how Graph convolutional networks and message passing networks work with example code demonstration using pytorch and torch_geometric
Torch geometric compatible node embedders
PyTorch code for an effective way of making a Molecular Graph Dataset in Torch Geometric involving a pair of graphs from chemical SMILE strings
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Experimentation on PRODIGY framework
This project optimizes a Graph Convolutional Network (GCN) model with Optuna to predict COVID-19 cases in various regions, incorporating additional features alongside historical data for improved accuracy.
Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022
Tools for querying, visualizing, and modeling network graphs on the Helium blockchain.
Bags of Tricks in OGB (node classification) with GCNs.
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