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Semi-supervised User Geolocation via Graph Convolutional Networks

Semi-supervised User Geolocation via Graph Convolutional Networks

22 April 2018
Afshin Rahimi
Trevor Cohn
Timothy Baldwin
    GNN
    SSL
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Papers citing "Semi-supervised User Geolocation via Graph Convolutional Networks"

50 / 56 papers shown
Title
PANDORA: Deep graph learning based COVID-19 infection risk level
  forecasting
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
Shuo Yu
Feng Xia
Yueru Wang
Shihao Li
F. Febrinanto
Madhu Chetty
28
2
0
07 Jun 2024
Social Intelligence Data Infrastructure: Structuring the Present and
  Navigating the Future
Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future
Minzhi Li
Weiyan Shi
Caleb Ziems
Diyi Yang
43
9
0
28 Feb 2024
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to
  Protect Privacy of Individuals on Twitter
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter
Dilara Doğan
Bahadir Altun
Muhammed Said Zengin
Mucahid Kutlu
Tamer Elsayed
26
2
0
23 Jul 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph
  Reasoning Network
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network
Weijia Chen
Yixin Cao
Fuli Feng
Xiangnan He
Yongdong Zhang
13
2
0
14 Jul 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional
  Networks
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen
Tianning Xu
Dilek Z. Hakkani-Tür
Di Jin
Yun Yang
Ruoqing Zhu
32
4
0
01 Jun 2022
Geographic Adaptation of Pretrained Language Models
Geographic Adaptation of Pretrained Language Models
Valentin Hofmann
Goran Glavaš
Nikola Ljubevsić
J. Pierrehumbert
Hinrich Schütze
VLM
26
16
0
16 Mar 2022
Designing weighted and multiplex networks for deep learning user
  geolocation in Twitter
Designing weighted and multiplex networks for deep learning user geolocation in Twitter
Federico M. Funes
José Ignacio Alvarez-Hamelin
M. G. Beiró
GNN
28
1
0
13 Dec 2021
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on
  Generalization Ability
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
Weilin Cong
Yanhong Wu
Yuandong Tian
Mengting Gu
Yinglong Xia
C. Chen
Mehrdad Mahdavi
AI4CE
25
8
0
19 Nov 2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level
  Through Provenance Graph Learning
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang
Zhiliang Wang
Tao Zhou
Xia Yin
Dongqi Han
Han Zhang
Hongbin Sun
Xingang Shi
Jiahai Yang
37
69
0
08 Nov 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong
M. Ramezani
M. Mahdavi
32
74
0
28 Oct 2021
Relation-aware Heterogeneous Graph for User Profiling
Relation-aware Heterogeneous Graph for User Profiling
Qilong Yan
Yufeng Zhang
Qiang Liu
Shu Wu
Liang Wang
41
19
0
14 Oct 2021
Distilling Holistic Knowledge with Graph Neural Networks
Distilling Holistic Knowledge with Graph Neural Networks
Sheng Zhou
Yucheng Wang
Defang Chen
Jiawei Chen
Xin Eric Wang
Can Wang
Jiajun Bu
15
54
0
12 Aug 2021
Self-supervised Consensus Representation Learning for Attributed Graph
Self-supervised Consensus Representation Learning for Attributed Graph
Changshu Liu
Liangjiang Wen
Zhao Kang
Guangchun Luo
Ling Tian
SSL
48
50
0
10 Aug 2021
Unlimited Neighborhood Interaction for Heterogeneous Trajectory
  Prediction
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
Fang Zheng
Le Wang
Sanping Zhou
Wei Tang
Zhenxing Niu
N. Zheng
G. Hua
AI4TS
21
34
0
31 Jul 2021
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural
  Networks
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks
Jiaqing Xie
Rex Ying
GNN
20
3
0
24 Jun 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural
  Networks for Graph Data
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
I-Chung Hsieh
Cheng-Te Li
AAML
25
23
0
22 Jun 2021
Residual Network and Embedding Usage: New Tricks of Node Classification
  with Graph Convolutional Networks
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
Huixuan Chi
Yuying Wang
Qinfen Hao
Hong Xia
GNN
24
11
0
18 May 2021
Network Embedding via Deep Prediction Model
Network Embedding via Deep Prediction Model
Xin Sun
Zenghui Song
Yongbo Yu
Junyu Dong
Claudia Plant
Christian Boehm
GNN
22
2
0
27 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra
A. Bhagat
Manavendra Maharana
P. Krivitsky
GNN
BDL
28
16
0
17 Apr 2021
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment
  via Representation Learning
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Rui Zhang
Bayu Distiawan Trisedy
Miao Li
Yong-jia Jiang
Jianzhong Qi
AI4TS
30
70
0
28 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Man Wu
Shirui Pan
Lan Du
Xingquan Zhu
30
33
0
08 Mar 2021
Physics-Informed Graphical Neural Network for Parameter & State
  Estimations in Power Systems
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier
Michael Chertkov
42
49
0
12 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification
Privacy-Preserving Graph Convolutional Networks for Text Classification
Timour Igamberdiev
Ivan Habernal
GNN
31
33
0
10 Feb 2021
Hybrid Quantum-Classical Graph Convolutional Network
Hybrid Quantum-Classical Graph Convolutional Network
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
GNN
18
36
0
15 Jan 2021
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text
  Classification
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
Weipeng Jing
Xianyang Song
Donglin Di
Haoze Song
GNN
31
9
0
13 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
27
117
0
16 Dec 2020
Dual ResGCN for Balanced Scene GraphGeneration
Dual ResGCN for Balanced Scene GraphGeneration
Jingyi Zhang
Yong Zhang
Baoyuan Wu
Yanbo Fan
Fumin Shen
Heng Tao Shen
28
12
0
09 Nov 2020
A Simple Spectral Failure Mode for Graph Convolutional Networks
A Simple Spectral Failure Mode for Graph Convolutional Networks
Carey E. Priebe
Cencheng Shen
Ningyuan Huang
Tianyi Chen
GNN
19
7
0
25 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference
  Method
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
Weiran Huang
Xiangnan He
Xin Xin
Qifan Wang
Tat-Seng Chua
GNN
CML
23
63
0
22 Oct 2020
Tracklets Predicting Based Adaptive Graph Tracking
Tracklets Predicting Based Adaptive Graph Tracking
Chaobing Shan
Chunbo Wei
Bing Deng
Jianqiang Huang
Xiansheng Hua
Xiaoliang Cheng
K. Liang
VOT
33
9
0
18 Oct 2020
Locality Preserving Dense Graph Convolutional Networks with Graph
  Context-Aware Node Representations
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations
Wenfeng Liu
Maoguo Gong
Zedong Tang
•. A. K. Qin
GNN
39
13
0
12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
46
226
0
30 Sep 2020
Distributed Structured Actor-Critic Reinforcement Learning for Universal
  Dialogue Management
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
Zhi Chen
Lu Chen
Xiaoyuan Liu
Kai Yu
38
20
0
22 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
CatGCN: Graph Convolutional Networks with Categorical Node Features
Weijia Chen
Fuli Feng
Qifan Wang
Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
27
22
0
11 Sep 2020
Tree Structure-Aware Graph Representation Learning via Integrated
  Hierarchical Aggregation and Relational Metric Learning
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
Ziyue Qiao
Pengyang Wang
Yanjie Fu
Yi Du
P. Wang
Yuanchun Zhou
25
18
0
23 Aug 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of
  Graph Neural Networks
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong
R. Forsati
M. Kandemir
M. Mahdavi
30
84
0
24 Jun 2020
Categorical Normalizing Flows via Continuous Transformations
Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe
E. Gavves
BDL
23
43
0
17 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
30
432
0
13 Jun 2020
Neighborhood Matching Network for Entity Alignment
Neighborhood Matching Network for Entity Alignment
Yuting Wu
Xiao Liu
Yansong Feng
Zheng Wang
Dongyan Zhao
29
124
0
12 May 2020
Graph Highway Networks
Graph Highway Networks
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
GNN
31
5
0
09 Apr 2020
Geometrically Principled Connections in Graph Neural Networks
Geometrically Principled Connections in Graph Neural Networks
Shunwang Gong
Mehdi Bahri
M. Bronstein
S. Zafeiriou
GNN
AI4CE
19
21
0
06 Apr 2020
A Hierarchical Location Prediction Neural Network for Twitter User
  Geolocation
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
Binxuan Huang
Kathleen M. Carley
11
45
0
28 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph
  Decomposition
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
Xupeng Miao
Nezihe Merve Gürel
Wentao Zhang
Zhichao Han
Bo-wen Li
...
Yang Zhao
Shuai Zhang
Yujing Wang
Tengjiao Wang
Ce Zhang
GNN
21
6
0
10 Oct 2019
Jointly Learning Entity and Relation Representations for Entity
  Alignment
Jointly Learning Entity and Relation Representations for Entity Alignment
Yuting Wu
Xiao Liu
Yansong Feng
Zheng Wang
Dongyan Zhao
25
152
0
20 Sep 2019
Gated Graph Recursive Neural Networks for Molecular Property Prediction
Gated Graph Recursive Neural Networks for Molecular Property Prediction
Hiroyuki Shindo
Yuji Matsumoto
GNN
36
15
0
31 Aug 2019
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Yuting Wu
Xiao Liu
Yansong Feng
Zheng Wang
Rui Yan
Dongyan Zhao
19
335
0
22 Aug 2019
Explainability Techniques for Graph Convolutional Networks
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre
Hossein Azizpour
GNN
FAtt
33
264
0
31 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAML
GNN
21
27
0
24 May 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
42
1,330
0
07 Apr 2019
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