Yangxin Fan (Yangxin666)

Yangxin666

Geek Repo

Location:Cleveland, OH

Home Page:https://scholar.google.com/citations?user=93z-sKsAAAAJ&hl=zh-CN&oi=ao

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Organizations
CWRU-DB-Group

Yangxin Fan's repositories

STGAE

Code repo for Spatio-Temporal Denoising Graph Autoencoder (STD-GAE)

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2019-ZJU_SummerResearch

The task is to restate a thesis and redo the experiment following the instructions in the paper.

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awesome-graph-explainability-papers

Papers about explainability of GNNs

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darknet

Convolutional Neural Networks

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GAIN

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

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GATE

Graph Attention Auto-Encoders

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GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

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GNNPapers

Must-read papers on graph neural networks (GNN)

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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grin

Code for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks"

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Materials-Design-Ontology

An Ontology for the Materials Design Domain

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MIDASpy

Python package for missing-data imputation with deep learning

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PVplr-stGNN

Source codes for Python package PVplr-stGNN

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pyLODE

An OWL ontology documentation tool using Python and templating, based on LODE

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SAITS

The official code repository for paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) imputation model with effeciency.

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serenade

Session-based recommender system: Serenade

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Shift-Robust-GNNs

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

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spatiotemporal_datasets

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

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SSSD

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

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ST-GTrend

Parallel-friendly Spatio-Temporal Graph Learning for Large-scale Photovoltaic Degradation Analysis

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Time-Series-Work-Conference

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

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timeseries-tutorial-kdd-2022

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

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Traffic-Prediction-Open-Code-Summary

Summary of open source code for deep learning models in the field of traffic prediction

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transdim

Machine learning for transportation data imputation and prediction.

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Yangxin_Fan

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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