Discover @EdisonLeeeee Open Source projects

Jintang Li (@EdisonLeeeee)

EdisonLeeeee

Stars
2,938
Global Rank 10,083 (Top 0.4 %)
Followers 251
Following 16
Registered over 6 years ago
Most used languages

Python
64.5 %

Jupyter Notebook
29.0 %

Cuda 3.2 %

Dockerfile
3.2 %
Location 🇨🇳 China
Country Total Rank 2,512
Country Ranking

Jupyter Notebook
261

Cuda 328

Python
576

Dockerfile
1,045

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

Graph-Adversarial-Learning

A curated collection of adversarial attack and defense on graph data.

GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

Awesome-Learning-Resource

A curated list of all kinds of learning resources, blogs, books, videos and so on.

RS-Adversarial-Learning

A curated collection of adversarial attack and defense on recommender systems.

Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).

ICLR2023-OpenReviewData

ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference

Jupyter Notebook

ICLR2022-OpenReviewData

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

Jupyter Notebook

GreatX

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

MaskGAE

[KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

SpikeNet

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

ICDM2022_competition_3rd_place_solution

3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs

GraphData

A collection of graph data used for semi-supervised node classification.

DCIC-2023-Solution

DCIC2023 Fraud Risk Identification Competition Solution.

Jupyter Notebook

SpikeGCL

[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)

arxiv-daily

Awesome-SAR-Detection

A curated list of SAR detection datasets.

GUARD

[CIKM 2023] GUARD: Graph Universal Adversarial Defense

SGAttack

Official Repository for "Adversarial Attack on Large Scale Graph." [TKDE 2021]

Jupyter Notebook

Mooon

Graph Data Augmentation Library for PyTorch Geometric

STEP

MAGI

[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

SAT

SpikingNeuralNetworks

Spiking Neural Networks （脉冲神经网络调研）

MedianGCN

Official PyTorch implementation of MedianGCN and TrimmedGCN in Understanding Structural Vulnerability in Graph Convolutional Networks (IJCAI 2021).

Jupyter Notebook

CIKM22_FL_Competition

4th place (4/1746) solution of CIKM 2022 AnalytiCup Competition.

GraphAdv

TensorFlow 2 implementation of state-of-the-arts graph adversarial attack and defense models (methods).

GraphSSM

[arXiv 2024] State Space Models on Temporal Graphs: A First-Principles Study

SVD_HMM

Python implement of SVD+HMM for face recognition.

Jupyter Notebook

EdisonLeeeee.github.io

BlockGCL

PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)

SAR-Ship-Detection-Detectron2

SAR Ship detection with Detection2

Jupyter Notebook

CenterSAR

CenterNet for SAR ship detection based on Detectron2

Jupyter Notebook

SGC_tf2.0

Python implement of SGC with Tensorflow 2.0.

Jupyter Notebook

Hetero2Net

EdisonLeeeee

tensorflow-jupyterlab-docker

Tensorflow 2.1 GPU with Python 3.6 and jupyterlab

Introduction_to_graph_adversarial_learning

An introduction to graph adversarial learning

TemporalDatasets

DropPath

Implementation of DropPath: A Structured Dropout for Graph Neural Networks in PyTorch.

glcore

graph learing toolbox

lrGAE