Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processingby Mounir…
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillationby Lirong Wu, Yunfan…
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamicsby Matthias Karlbauer,…
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networksby…
Dirac–Bianconi Graph Neural Networks – Enabling Non-Diffusive Long-Range Graph Predictionsby Christian Nauck, Rohan Gorantla, Michael…
SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Gridsby Salah Ghamizi, Aleksandar Bojchevski,…
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural…
A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air…
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approachby Tanvir Hossain, Khaled Mohammed Saifuddin,…
Relaxing Graph Transformers for Adversarial Attacksby Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan…