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A curated list of causal inference libraries, resources, and applications.
A collection of papers for graph anomaly detection, and published algorithms and datasets.
A list of Graph Causal Learning materials.
Papers about explainability of GNNs
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
An awesome paper list of Semi-Supervised Learning under realistic settings.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A Survey of Learning from Graphs with Heterophily
深度学习入门教程, 优秀文章, Deep Learning Tutorial
links to conference publications in graph-based deep learning
A curated list of graph data augmentation papers.
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
This repository contains the resources on graph neural network (GNN) considering heterophily.
A curated list of resources for OOD detection with graph data.
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
papers with out-of-distribution generalization are categorized based on machine learning techniques and OOD detection tasks
A Python Library for Graph Outlier Detection (Anomaly Detection)
👽 Out-of-Distribution Detection with PyTorch
Accompanied repositories for our paper Graph foundation model
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.