Survey on Trustworthy Graph Neural Networks: From A Causal Perspective

1 code implementation • 19 Dec 2023 • Wenzhao Jiang, Hao liu, Hui Xiong

Moreover, we introduce a taxonomy of Causality-Inspired GNNs (CIGNNs) based on the type of causal learning capability they are equipped with, i. e., causal reasoning and causal representation learning.

Graph Mining Representation Learning

Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models

2 code implementations • 5 Oct 2022 • Fan Liu, Hao liu, Wenzhao Jiang

Remarkably, we also show that adversarial training with our proposed attacks can significantly improve the robustness of spatiotemporal traffic forecasting models.

On audio enhancement via online non-negative matrix factorization

1 code implementation • 7 Oct 2021 • Andrew Sack, Wenzhao Jiang, Michael Perlmutter, Palina Salanevich, Deanna Needell

We propose a method for noise reduction, the task of producing a clean audio signal from a recording corrupted by additive noise.

Denoising