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Wenzhe Zhang

2 accepted papers

2026

DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation

AAAI 2026technical

Graph Neural Networks (GNNs) have been studied from two primary perspectives: spectral, which employs global graph signal filtering and is theoretically more expressive, and spatial, which builds on local neighborhood aggregation and generalizes well across diverse graph structures. While spectral G

Cited by 0SourcePDFScholar
2020

Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning

IJCAI 2020poster

Electric Vehicle (EV) sharing systems have recently experienced unprecedented growth across the world. One of the key challenges in their operation is vehicle rebalancing, i.e., repositioning the EVs across stations to better satisfy future user demand. This is particularly challenging in the shared…