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Type: User
Company: Kyoto University
Location: Kyoto
Type: User
Company: Kyoto University
Location: Kyoto
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code for "Discovering Causal Relationship in Spatial Proteomics Data with CASP"
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
Gene Set + S2G strategy annotations analyzed for disease architecture
Python implementation of Milo for differential abundance testing on KNN graph
SMG: self-supervised masked graph learning for cancer gene identification.
A Python package for the Scalale and accurate identification condition-relevant niches from spatial -omics data.
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.