GitHub

Explaining GNN Explanations With Edge Gradients

This repository contains code to reproduce the experiments in the KDD 2025 paper "Explaining GNN Explanations With Edge Gradients", including the Occlusion, Layerwise Occlusion, and Layerwise Gradient ...
GitHub

HAIV-Lab/OSPCoOp_Imagenet-bg

To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...
IEEE

ADMM-Enhanced CNN Training Framework With Global Convergence Guarantees

Abstract: Convolutional Neural Networks (CNNs) are widely employed across various domains due to their exceptional capability in extracting complex features from data. Traditional CNN training ...
IEEE

TimeResLSTM: A Hybrid Deep Learning Architecture for Short-Term Traffic Flow Forecasting

Abstract: Short-term traffic flow forecasting has emerged as an important aspect of the intelligent transportation system. This helps to resolve the traffic congestion problem and provides immediate ...