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[ICML 2021] Information Obfuscation of Graph Neural Networks
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
A collection of GNN-based fake news detection models.
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
A curated list of adversarial attacks and defenses papers on graph-structured data.
HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021
The code for "Improved Deep Leakage from Gradients" (iDLG).
This repository is deprecated, please go to https://github.com/davidsonic/Interpretable_CNNs_via_Feedforward_Design
Official Implementation of Interpretable Convolutional Neural Networks via Feedforward Design Arxiv: https://arxiv.org/abs/1810.02786
Official Implementation for FF_designed CNNs
Joing learning of graphs and features
Useful research papers to help understand knowledge graph
Code repository for the paper "Label Propagation with Weak Supervision" (ICLR 23)
[ICML 2022] Local Augmentation for Graph Neural Networks
Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)
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.