Pinned Repositories
AI-research-tools
:hammer:AI 方向好用的科研工具
awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
awesome-tips
awesome-twitter-data
A list of Twitter datasets and related resources.
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
BIND
Open-source code for "Interpreting Unfairness in Graph Neural Networks via Training Node Attribution".
CompareNet_FakeNewsDetection
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (ACL 2021)
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
TKDD_BLC
Source code for TKDD paper ’Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection‘
shawn-dm's Repositories
shawn-dm/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
shawn-dm/TKDD_BLC
Source code for TKDD paper ’Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection‘
shawn-dm/awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
shawn-dm/awesome-tips
shawn-dm/BIND
Open-source code for "Interpreting Unfairness in Graph Neural Networks via Training Node Attribution".
shawn-dm/BraVL
Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"
shawn-dm/CAFIN
This is the official implementation of our ECAI 2023 paper, CAFIN ☕️: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs.
shawn-dm/CI-iVAE
shawn-dm/CosmoGraphNet
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
shawn-dm/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
shawn-dm/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"
shawn-dm/F2GNN
shawn-dm/Fair-Path-Graph-Neural-Network-for-Mitigating-Discrimination
Data for FPGNN
shawn-dm/fair-vae-rec
Public repository of Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
shawn-dm/FairAC
FAIR ATTRIBUTE COMPLETION ON GRAPH WITH MISSING ATTRIBUTES (ICLR 2023)
shawn-dm/IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
shawn-dm/IMvGCN
Implementation of IMvGCN in our paper: Interpretable Graph Convolutional Network for Multi-view Semi-supervised Learning, IEEE TMM.
shawn-dm/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"
shawn-dm/learning_research
本人博士期间的科研经验
shawn-dm/ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
shawn-dm/RELIANT
Open-source code for "RELIANT: Fair Knowledge Distillation for Graph Neural Networks".
shawn-dm/SELFRec
An open-source framework for self-supervised recommender systems.
shawn-dm/shawn-dm.github.io
Personal Homepage
shawn-dm/sIPM-LFR
Official pytorch implementation of "Learning fair representation with a parametric integral probability metric" published in ICML 2022.
shawn-dm/SLIDE
Official pytorch implementation of "SLIDE: A surrogate fairness constraint to ensure fairness consistency" published by journal <Neural Networks>.
shawn-dm/Starter-Guide
shawn-dm/TAGCL
The source code of 'A Fairness-aware Graph Contrastive Learning Recommender Framework for Social Tagging Systems'
shawn-dm/Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
shawn-dm/VIS
shawn-dm/visualization