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blip2pr

code-interpretation-pretrain-gnn

strategies for pre-training graph neural networks

final-molecule-training-project

This repository is for the molecular training project, will update every week

gem_practice_copy

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

gogpt

gppt

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

graphmvp

Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

kano

Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".

kcl

Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

knowledgegraphembedding

pal_practice_copy

this repository is for study use only. Implementation of the paper "PAL: Program-aided Language Models. (ICML2023)". This is not official implementation

prog_practice_copy

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

sdnn-ppi