XiaoxiaoMa-MQ's starred repositories

GRU4Rec_PyTorch_Official

Official implementation of the GRU4Rec algorithm in PyTorch

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RecBole

A unified, comprehensive and efficient recommendation library

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mamba

Mamba SSM architecture

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GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

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pygsp

Graph Signal Processing in Python

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PySGWT

Spectral Graph Wavelet Transform

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pykan

Kolmogorov Arnold Networks

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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MDT

Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

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diffae

Official implementation of Diffusion Autoencoders

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GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

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InfoDiffusion

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models

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RAND

The source code of Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection (RAND), ICDM 2023.

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dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

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TAG-Benchmark

Benchmark

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Awesome-LLMs-in-Graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

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edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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WWL

Wasserstein Weisfeiler-Lehman Graph Kernels

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CanvassPaintApp

JS based Paint application for quick online doodling.

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The-Art-of-Linear-Algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

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PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

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Awesome-Deep-Community-Detection

Deep and conventional community detection related papers, implementations, datasets, and tools.

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pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

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Awesome-Deep-Graph-Anomaly-Detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

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