Jun Xia (junxia97)

junxia97

Geek Repo

Company:Westlake University & Zhejiang University

Location:Hangzhou, Zhejiang, China.

Home Page:https://junxia97.github.io/

Twitter:@JunXia_Westlake

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Jun Xia's repositories

awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

Mole-BERT

[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"

SimGRACE

[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

ProGCL

[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

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awesome-molecular-graph-representation-learning

A curated list of resources for molecular graph representation learning.

DiscoGNNs

Official implementation of ICDE 2024 paper "DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning"

IFM

[NeurIPS 2023] "Understanding the Limitations of Deep Models for Molecular Property Prediction: Insights and Solutions"

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OT-Cleaner

[ICASSP 2022]OT-Cleaner: Label Correction as Optimal Transport

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

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benchmarking-gnns

Repository for benchmarking graph neural networks

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Co-training-based_noisy-label-learning

[ACM MM 2021 Oral Presentation] A unified framework for co-training-based noisy label learning methods.

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Deep-Lasso

Deep lasso for feature selection

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Graph-Reinforcement-Learning-Papers

A curated list of graph reinforcement learning papers.

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grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

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molfeat

molfeat - the hub for all your molecular featurizers

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papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

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pretrain-gnns

Strategies for Pre-training Graph Neural Networks

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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