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Graph Convolution Networks for Probabilistic Modeling of Driving
  Acceleration
v1v2v3 (latest)

Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration

22 November 2019
Jianyu Su
Peter A. Beling
Rui Guo
Kyungtae Han
    GNN
ArXiv (abs)PDFHTML

Papers citing "Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration"

13 / 13 papers shown
Title
Graph Neural Networks for Modelling Traffic Participant Interaction
Graph Neural Networks for Modelling Traffic Participant Interaction
Frederik Diehl
T. Brunner
Michael Truong-Le
Alois Knoll
HAIGNN
68
113
0
04 Mar 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,532
0
20 Dec 2018
An LSTM Network for Highway Trajectory Prediction
An LSTM Network for Highway Trajectory Prediction
Florent Altché
A. de La Fortelle
HAI
54
520
0
24 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
81
334
0
18 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via
  Recurrent Neural Network
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network
Byeoungdo Kim
C. Kang
Seung-Hi Lee
Hyunmin Chae
Jaekyum Kim
C. Chung
J. Choi
52
331
0
24 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
657
29,154
0
09 Sep 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
204
5,360
0
21 Nov 2012
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