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followers: 70.0 following: 10.0 repos: 19.0 gists: 0.0

Name: Jun Xia

Type: User

Company: Westlake University & Zhejiang University

Bio: Ph.D. student at Westlake University & Zhejiang University

Twitter: JunXia_Westlake

Location: Hangzhou, Zhejiang, China.

Blog: https://junxia97.github.io/

Jun Xia's Projects

awesome-molecular-graph-representation-learning

A curated list of resources for molecular graph representation learning.

awesome-pretrain-on-molecules

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

awesome-self-supervised-gnn

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

benchmarking-gnns

Repository for benchmarking graph neural networks

co-training-based_noisy-label-learning

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

deep-lasso

Deep lasso for feature selection

discognns

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

graph-reinforcement-learning-papers

A curated list of graph reinforcement learning papers.

grover

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

ifm

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

junxia97.github.io

homepage

mole-bert

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

molfeat

molfeat - the hub for all your molecular featurizers

ot-cleaner

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

papers_for_protein_design_using_dl

List of papers about Proteins Design using Deep Learning

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

progcl

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

pytorch-deep-learning

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

simgrace

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

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Jun Xia's Projects

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