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2011.06775
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DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
13 November 2020
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yuan Liu
GNN
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Papers citing
"DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks"
7 / 7 papers shown
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
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AAML
242
2
0
12 Aug 2025
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
503
412
0
07 Jul 2023
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
342
8
0
06 Nov 2022
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
372
170
0
29 Mar 2022
Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation
Kefan Jin
Xi Han
348
4
0
14 Mar 2022
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yuan Liu
AI4TS
294
20
0
17 Sep 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yuan Liu
GNN
326
53
0
11 Aug 2021
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