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A Review of Location Encoding for GeoAI: Methods and Applications
v1v2 (latest)

A Review of Location Encoding for GeoAI: Methods and Applications

7 November 2021
Gengchen Mai
K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
ArXiv (abs)PDFHTML

Papers citing "A Review of Location Encoding for GeoAI: Methods and Applications"

49 / 49 papers shown
Title
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
Yiqing Guo
K. Mokany
S. Levick
Jinyan Yang
P. Moghadam
MDE
193
2
0
25 Oct 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu
Qian Cao
Zhangyu Wang
Zeping Liu
Yanlin Qi
...
Stefano Ermon
T. Ganu
A. Nambi
Ni Lao
Gengchen Mai
176
20
0
21 Jun 2024
Jointly spatial-temporal representation learning for individual trajectories
Jointly spatial-temporal representation learning for individual trajectories
Fei Huang
Jianrong Lv
Yang Yue
AI4TS
200
3
0
07 Dec 2023
Kriging Convolutional Networks
Kriging Convolutional Networks
G. Appleby
Linfeng Liu
Liping Liu
101
65
0
15 Jun 2023
Geographic Question Answering: Challenges, Uniqueness, Classification,
  and Future Directions
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
Gengchen Mai
K. Janowicz
Rui Zhu
Ling Cai
Ni Lao
52
61
0
19 May 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
676
41,483
0
22 Oct 2020
Spatial Language Representation with Multi-Level Geocoding
Spatial Language Representation with Multi-Level Geocoding
Sayali Kulkarni
Shailee Jain
Mohammad Javad Hosseini
Jason Baldridge
Eugene Ie
Li Zhang
AI4CE
43
17
0
21 Aug 2020
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
Jinmeng Rao
Song Gao
Yuhao Kang
Qunying Huang
113
109
0
14 Jun 2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic
  Question Answering and Spatial Semantic Lifting
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Gengchen Mai
K. Janowicz
Ling Cai
Rui Zhu
Blake Regalia
Bo Yan
Meilin Shi
Ni Lao
90
79
0
25 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets
  for 3D Generation, Reconstruction and Classification
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Jianwen Xie
Yifei Xu
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
3DPC
129
82
0
02 Apr 2020
Multi-Scale Representation Learning for Spatial Feature Distributions
  using Grid Cells
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
SSL
131
124
0
16 Feb 2020
TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
51
77
0
01 Oct 2019
Contextual Graph Attention for Answering Logical Queries over Incomplete
  Knowledge Graphs
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
42
15
0
30 Sep 2019
Reconstructing continuous distributions of 3D protein structure from
  cryo-EM images
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
Ellen D. Zhong
Tristan Bepler
Joseph H. Davis
Bonnie Berger
3DV
66
110
0
11 Sep 2019
Time2Vec: Learning a Vector Representation of Time
Time2Vec: Learning a Vector Representation of Time
Seyed Mehran Kazemi
Rishab Goel
Sepehr Eghbali
J. Ramanan
Jaspreet Sahota
Sanjay Thakur
Stella Wu
Cathal Smyth
Pascal Poupart
Marcus A. Brubaker
AI4TS
68
348
0
11 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yuan Liu
Serge J. Belongie
Bharath Hariharan
3DPC
101
671
0
28 Jun 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha
Elijah Cole
Pietro Perona
79
167
0
12 Jun 2019
Geo-Aware Networks for Fine-Grained Recognition
Geo-Aware Networks for Fine-Grained Recognition
Grace Chu
B. Potetz
Weijun Wang
Andrew G. Howard
Yang Song
Fernando Brucher
Thomas Leung
Hartwig Adam
ObjD
67
86
0
04 Jun 2019
3D Point Cloud Generative Adversarial Network Based on Tree Structured
  Graph Convolutions
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
Dong Wook Shu
Sung Woo Park
Junseok Kwon
3DPC
88
285
0
15 May 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
788
8,579
0
03 Jan 2019
Learning Grid Cells as Vector Representation of Self-Position Coupled
  with Matrix Representation of Self-Motion
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
Ruiqi Gao
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
SSL
56
41
0
12 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,705
0
01 Oct 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
769
3,131
0
04 Jun 2018
Learning to Navigate in Cities Without a Map
Learning to Navigate in Cities Without a Map
Piotr Wojciech Mirowski
Matthew Koichi Grimes
Mateusz Malinowski
Karl Moritz Hermann
Keith Anderson
Denis Teplyashin
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
SSLHAI
101
320
0
31 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
258
2,451
0
23 Jan 2018
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
118
3,731
0
17 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,265
0
30 Oct 2017
Time-Dependent Representation for Neural Event Sequence Prediction
Time-Dependent Representation for Neural Event Sequence Prediction
Yang Li
Nan Du
Samy Bengio
AI4TS
49
59
0
31 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
795
132,454
0
12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
366
11,154
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,331
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,496
0
04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
194
4,837
0
17 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
427
2,480
0
10 Mar 2017
Knowledge Graph Completion via Complex Tensor Factorization
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon
C. Dance
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
66
296
0
22 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
493
14,371
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
813
3,298
0
24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
671
29,183
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,924
0
03 Jul 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC3DV
244
1,567
0
12 Apr 2016
PlaNet - Photo Geolocation with Convolutional Neural Networks
PlaNet - Photo Geolocation with Convolutional Neural Networks
Tobias Weyand
Ilya Kostrikov
James Philbin
67
421
0
17 Feb 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,288
0
17 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
235
4,180
0
17 May 2015
Improving Image Classification with Location Context
Improving Image Classification with Location Context
K. Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir D. Bourdev
SSL
66
122
0
14 May 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
162
3,220
0
05 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
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