Jintang Li's Projects
A repository of links with advice related to grad school applications, research, phd etc
A Deep Learning Docker Image (PyTorch and TensorFlow) for arm64 architecture
arxiv-daily
Paper List for Fair Graph Learning (FairGL).
A curated list of all kinds of learning resources, blogs, books, videos and so on.
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
A collection of awesome readme templates to display on your profile
PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)
4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.
Core components for deep learning.
DCIC2023 Fraud Risk Identification Competition Solution.
A pytorch adversarial library for attack and defense methods on images and graphs
Github pages
Edge-Augmented Graph Transformer
graph learing toolbox
A curated collection of adversarial attack and defense on graph data.
TensorFlow 2 implementation of state-of-the-arts graph adversarial attack and defense models (methods).
A collection of graph data used for semi-supervised node classification.
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
A collection of graph datasets used for GraphWar
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
[CIKM 2023] GUARD: Graph Universal Adversarial Defense
η¨εΊεε»Άε―Ώζε | A programmer's guide to living longer
3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference
ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
An introduction to graph adversarial learning