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Top 7 AI educational lifelines for college freshmen drowning in statistics and geometry

Jumping from high school to college-level statistics and geometry can feel like learning a new language. The concepts get ...
IEEE

Confidential Spatio-Temporal Graph Convolutional Networks with Differential Privacy for Traffic Forecasting

Abstract: Traffic forecasting is essential for urban traffic management in intelligent transportation systems (ITS). However, it involves personal sensitive information, such as user location data. In ...
IEEE

A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy

Abstract: Publishing graph statistics under node differential privacy has attracted much attention since it provides a stronger privacy guarantee than edge differential privacy. Existing works related ...
GitHub

PDONet: a graph convolutional layer based on differential operators implemented in PyTorch

Implementation and code to test the parameterized differential operator layer for "Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks" GSP-CV 2021. Some modules are ...
GitHub

AIOps-tech/MAD-ODE

All experiments were conducted using Python 3.8, PyTorch 1.10, and CUDA version 11.3, and were trained on a server equipped with an Intel(R) Xeon(R) Platinum 8255C CPU and NVIDIA RTX 3090 GPU. Run the ...