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Qiqi Wan

2 accepted papers

2025

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

AAAI 2025technical

Dynamic interacting system modeling is important for understanding and simulating real world systems, e.g., meteorology and the spread of COVID. The system is typically described as a graph, where multiple objects dynamically interact with each other and evolve over time. In recent years, graph Ordi…

2024

Spiking Graph Neural Network on Riemannian Manifolds

NeurIPS 2024poster

Graph neural networks (GNNs) have become the dominant solution for learning on graphs, the typical non-Euclidean structures. Conventional GNNs, constructed with the Artificial Neuron Network (ANN), have achieved impressive performance at the cost of high computation and energy consumption. In parall…