shawn-dm Goto Github PK

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".

bngnn

braingb

A Benchmark on Brain NetworkAnalysis via Graph Network Models

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.

cf-gnnexplainer

ci-ivae

classkg

Weakly-supervised Text Classification Based on Keyword Graph

clue_model

CLUE code

cluedatasetsearch

搜索所有中文NLP数据集，附常用英文NLP数据集

comparenet_fakenewsdetection

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (ACL 2021)

cosmographnet

Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.

cvpr2022-orphicx

Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks."

decryptlogin

DecryptLogin: APIs for loginning some websites by using requests.

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"

dropgnn

dstagnn

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

eeg-gnn-ssl

eegcn

Classification of EEG signals into silence vs listening

f2gnn

fair-path-graph-neural-network-for-mitigating-discrimination

Data for FPGNN

fair-vae-rec

Public repository of Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders