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Relational Fusion Networks: Graph Convolutional Networks for Road
  Networks

Relational Fusion Networks: Graph Convolutional Networks for Road Networks

16 June 2020
T. S. Jepsen
Christian S. Jensen
Thomas D. Nielsen
    GNN
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Papers citing "Relational Fusion Networks: Graph Convolutional Networks for Road Networks"

4 / 4 papers shown
Title
Semantic-Enhanced Representation Learning for Road Networks with
  Temporal Dynamics
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
Yile Chen
Xiucheng Li
Gao Cong
Zhifeng Bao
Cheng Long
16
2
0
18 Mar 2024
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition
  Prediction Model
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
217
0
0
08 Sep 2022
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and
  Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
UniTE -- The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
T. S. Jepsen
Christian S. Jensen
Thomas D. Nielsen
OT
AI4TS
74
2
0
27 Apr 2021
Scalable Unsupervised Multi-Criteria Trajectory Segmentation and Driving
  Preference Mining
Scalable Unsupervised Multi-Criteria Trajectory Segmentation and Driving Preference Mining
Florian Barth
S. Funke
T. S. Jepsen
Claudius Proissl
6
6
0
23 Oct 2020
1