Saurabh Sharma

Decoupled Graph Signal Processing for Noise-Robust Recommendation in Sparse Heterogeneous Networks

Real-world recommendation systems usually utilise heterogeneous user-item interaction graphs that are extremely sparse, have multi-type edges and are with considerable observation noise due to misclicks, accidental exposures and bot activities. Traditional graph convolutional recommenders propagate signals indiscrimina...