Discover EdisonLeeeee/ICLR2022-OpenReviewData Open Source project

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

Awesome-Masked-Autoencoders

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

717

Graph-Adversarial-Learning

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

Python

546

GraphGallery

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

Python

456

Awesome-Learning-Resource

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

291

RS-Adversarial-Learning

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

129

Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).

117

ICLR2023-OpenReviewData

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

Jupyter Notebook

100

GreatX

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

Python

MaskGAE

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

Python

SpikeNet

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

Python

ICDM2022_competition_3rd_place_solution

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

Python

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)

Python

arxiv-daily

Python

Awesome-SAR-Detection

A curated list of SAR detection datasets.

GUARD

[CIKM 2023] GUARD: Graph Universal Adversarial Defense

Python

SGAttack

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

Jupyter Notebook

Mooon

Graph Data Augmentation Library for PyTorch Geometric

Python

STEP

Python

SAT

Python

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.

Python

GraphAdv

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

Python

MAGI

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

Python

HMM_Algorithms

Implement of HMM Algorithms (by numpy).

Python

SVD_HMM

Python implement of SVD+HMM for face recognition.

Jupyter Notebook

EdisonLeeeee.github.io

Github pages

Python

BlockGCL

PyTorch implementation of Blockwise Graph Contrastive Learning (BlockGCL)

Python

SAR-Ship-Detection-Detectron2

SAR Ship detection with Detection2

Jupyter Notebook

SGC_tf2.0

Python implement of SGC with Tensorflow 2.0.

Jupyter Notebook

CenterSAR

CenterNet for SAR ship detection based on Detectron2

Jupyter Notebook

Hetero2Net

Python

Face-Recognition

Simple implement of Face Recognition algorithms on the LFW and ORL dataset.

Jupyter Notebook

EdisonLeeeee

tensorflow-jupyterlab-docker

Tensorflow 2.1 GPU with Python 3.6 and jupyterlab

Dockerfile

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.

Python

glcore

graph learing toolbox

Cuda

GraphSSM

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

lrGAE

Python

EdisonLeeeee/ICLR2022-OpenReviewData

EdisonLeeeee

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