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Type: User
Company: University of Texas at Arlington
Type: User
Company: University of Texas at Arlington
strategies for pre-training graph neural networks
This repository is for the molecular training project, will update every week
this repository is for study use of the coding implementation of the paper "Geometry-enhanced molecular representation learning for property prediction (nature machine intelligence 2022)". This is not official implementation
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
this repository is for study use only. Implementation of the paper "PAL: Program-aided Language Models. (ICML2023)". This is not official implementation
this repository is for study use of the coding implementation of the paper "All in One: Multi-Task Prompting for Graph Neural Networks (KDD2023)". This is not official implementation
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