IEEE

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks

Abstract: Predicting vehicle trajectories is crucial to ensuring automated vehicle operation efficiency and safety, particularly on congested multi-lane highways. In such dynamic environments, a ...
IEEE

AutoDDI: Drug–Drug Interaction Prediction With Automated Graph Neural Network

Abstract: Drug–drug interaction (DDI) has attracted widespread attention because when incompatible drugs are taken together, DDI will lead to adverse effects on the body, such as drug poisoning or ...
GitHub

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

We uploaded the test datasets and models using git lfs. You must install it to clone the repo correctly. The default optional arguments are those used in the paper. A ...
GitHub

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis

We introduce graph Transformer into text representation learning and apply it to the ABSA task. To tightly combine the 2 text learning processes in graph view and sequence view, we propose a novel ...