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This repository aims to leverage pretrained neural networks for predicting node labels in molecular graphs, with a focus on fine-tuning for molecular property prediction tasks. The dataset used for this purpose is Zinc.
Molecular substructure graph attention network for molecular property identification in drug discovery. This is the starting point for my thesis project and is the fork of a repository from the paper https://doi.org/10.1016/j.patcog.2022.108659
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564
Some useful gadgets that may help you progress through your preparation for the GRE test, or any English learning and exams. | 一些用于帮助你准备GRE考试,或任何英语考试、英语学习的小玩意