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KGDA
Public- A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
RecSys2023-SINE
Publicpycityagent
PublicLCSim
Publicgenerate-od-pubtools
PublicTrajAgent
PublicResInf
PublicAnonymous-OpenCity
PublicCommutingODGen-Dataset
PublicEmbodiedCity
PublicLLM_for_Polarization
PublicMSA-Net
PublicCoNEXT24-NetDiff
PublicNetDiff uses a hierarchical generation structure to model mobile users' interactions with network services, like app usage traces. It leverages these traces to guide network flow generation, avoiding pattern collapse by gradually eliminating noise and using service conditions for precise control at each generation step.