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Name: Yixuan He
Type: User
Company: Arizona State University
Bio: Assistant Professor @ Arizona State University & DPhil in Statistics @ University of Oxford
Twitter: sherylhyx
Location: United States
Name: Yixuan He
Type: User
Company: Arizona State University
Bio: Assistant Professor @ Arizona State University & DPhil in Statistics @ University of Oxford
Twitter: sherylhyx
Location: United States
This repository provides a reference implementation of ASiNE: Adversarial Signed Network Embedding (SIGIR 2020).
Code for final year project: AUROC vs AUPRC.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Source code for CSNE: Conditional Signed Network Embeddings (CIKM2020)
Workshop materials for OpenCV day at CVPR 2019 conference
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Implement of DiGCN, NeurIPS-2020
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
Representation learning on dynamic graphs using self-attention networks
Used as an example R project for practical in reproducible workflow.
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Implementation of Graph Convolutional Networks in TensorFlow
Official Code for the ICML 2024 paper: Generalization Error of Graph Neural Networks in the Mean-field Regime
Official code for the ICLR2024 paper -- Robust Angular Synchronization via Directed Graph Neural Networks
Must-read papers on graph neural networks (GNN)
Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Representation learning on large graphs using stochastic graph convolutions.
Advancing GraphSAGE with A Data-driven Node Sampling
Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
Machine Learning Practical course repository
Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.
AI-powered literature discovery and review engine for medical/scientific papers
Latex code for making neural networks diagrams
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Deep Learning (with PyTorch)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.