| index | Title |
| 1 | Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrent u... Author(s):Dewen Seng, Fanshun Lv, Ziyi Liang... Clicked:8301 Download:8252 Cited:0 <Full Text> <PPT> 2321 Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.9 P.1179-1193 DOI:10.1631/FITEE.2000243 |
| 2 | FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction Author(s):Donglin CHEN, Xiang GAO, Chuanfu X... Clicked:9963 Download:11979 Cited:0 <Full Text> <PPT> 1544 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.2 P.207-219 DOI:10.1631/FITEE.2000435 |
| 3 | Transfer learning with a spatiotemporal graph convolution network for city flow prediction Author(s):Binkun LIU, Yu KANG, Yang CAO, Yun... Clicked:3616 Download:4707 Cited:0 <Full Text> <PPT> 1283 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.1 P.79-92 DOI:10.1631/FITEE.2300571 |
| 4 | Online transfer learning with an MLP-assisted graph convolutional network for traffic flow prediction: a so... Author(s):Jingru SUN, Chendingying LU, Yichu... Clicked:2736 Download:2693 Cited:0 <Full Text> <PPT> 409 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.9 P.1692-1710 DOI:10.1631/FITEE.2401059 |