shawn_dm's repositories
pytorch_and_GNNs
This repo contains the material for the tutorial on pytorch and graph neural networks (GNNs) that I am giving for the Artificial Intelligence applied to Astronomy (AIA), at USP
awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
BIND
Open-source code for "Interpreting Unfairness in Graph Neural Networks via Training Node Attribution".
BraVL
Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"
CAFIN
This is the official implementation of our ECAI 2023 paper, CAFIN ☕️: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs.
CosmoGraphNet
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
do_gnns_build_fair_models
Repository of the paper "Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling"
fair-vae-rec
Public repository of Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
FairAC
FAIR ATTRIBUTE COMPLETION ON GRAPH WITH MISSING ATTRIBUTES (ICLR 2023)
IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
IMvGCN
Implementation of IMvGCN in our paper: Interpretable Graph Convolutional Network for Multi-view Semi-supervised Learning, IEEE TMM.
it_looks_fair_but_it_is_not
Repository of the paper "Towards a Human-Centred Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based Models for User Profiling Tasks"
learning_research
本人博士期间的科研经验
ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
RELIANT
Open-source code for "RELIANT: Fair Knowledge Distillation for Graph Neural Networks".
SELFRec
An open-source framework for self-supervised recommender systems.
shawn-dm.github.io
Personal Homepage
sIPM-LFR
Official pytorch implementation of "Learning fair representation with a parametric integral probability metric" published in ICML 2022.
SLIDE
Official pytorch implementation of "SLIDE: A surrogate fairness constraint to ensure fairness consistency" published by journal <Neural Networks>.
TAGCL
The source code of 'A Fairness-aware Graph Contrastive Learning Recommender Framework for Social Tagging Systems'
Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"