- Graph Neural Networks with a Distribution of Parametrized Graphs
- Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
- Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
- Graph Neural Convection-Diffusion With Heterophily
- Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
- Leveraging Label Non-Uniformity For Node Classification In Graph Neural Networks
- SGAT: Simplicial Graph Attention Network
- Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
- Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
- On the Robustness of Graph Neural Diffusion to Topology Perturbations
- Stable Neural ODE With Lyapunov-Stable Equilibrium Points For Defending Against Adversarial Attacks
- Error-Correcting Output Codes With Ensemble Diversity For Robust Learning In Neural Networks
- DistilVPR: Cross-Modal Knowledge Distillation For Visual Place Recognition
- PosDiffNet: Positional Neural Diffusion For Point Cloud Registration In A Large Field Of View With Perturbations
- RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments
- HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
- RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
- Image Patch-Matching With Graph-Based Learning In Street Scenes
- Building Facade Parsing R-CNN