ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.10480
  4. Cited By
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
v1v2 (latest)

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey

20 March 2022
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
    AI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey"

42 / 42 papers shown
Title
APAN: Asynchronous Propagation Attention Network for Real-time Temporal
  Graph Embedding
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang
Ding Lyu
Mengjian Li
Yang Xia
Qi Yang
...
Xinguang Wang
Ping Cui
Yupu Yang
Bowen Sun
Zhenyu Guo
GNN
136
143
0
23 Nov 2020
Graph Neural Networks in TensorFlow and Keras with Spektral
Graph Neural Networks in TensorFlow and Keras with Spektral
Daniele Grattarola
Cesare Alippi
GNN
176
156
0
22 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
186
655
0
18 Jun 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural
  Networks: A survey
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
111
237
0
13 May 2020
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory
  Prediction
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction
Chengxin Wang
Shaofeng Cai
Gary S. H. Tan
GNN
56
53
0
16 Mar 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
107
637
0
19 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
571
42,677
0
03 Dec 2019
Self-attention with Functional Time Representation Learning
Self-attention with Functional Time Representation Learning
Da Xu
Chuanwei Ruan
Sushant Kumar
Evren Körpeoglu
Kannan Achan
AI4TS
74
116
0
28 Nov 2019
Fast and Deep Graph Neural Networks
Fast and Deep Graph Neural Networks
Claudio Gallicchio
Alessio Micheli
GNN
73
103
0
20 Nov 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CEGNN
293
760
0
03 Sep 2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
71
744
0
03 Aug 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
82
349
0
11 Jul 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
463
0
27 May 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
128
1,083
0
26 Feb 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
807
8,597
0
03 Jan 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
5,551
0
20 Dec 2018
Learning Dynamic Embeddings from Temporal Interactions
Learning Dynamic Embeddings from Temporal Interactions
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
61
27
0
06 Dec 2018
Streaming Graph Neural Networks
Streaming Graph Neural Networks
Yao Ma
Ziyi Guo
Zhaochun Ren
Eric Zhao
Jiliang Tang
Dawei Yin
GNN
71
239
0
24 Oct 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
252
4,189
0
23 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
486
20,265
0
30 Oct 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
196
1,980
0
17 Sep 2017
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
Yuan. Yuan
Xiaodan Liang
Xinyu Wang
Dit-Yan Yeung
Abhinav Gupta
80
93
0
02 Aug 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
813
132,725
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
521
15,369
0
07 Jun 2017
Attributed Network Embedding for Learning in a Dynamic Environment
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li
Harsh Dani
Helen Zhou
Jiliang Tang
Yi-Ju Chang
Huan Liu
77
370
0
06 Jun 2017
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit S. Trivedi
H. Dai
Yichen Wang
Le Song
BDL
88
478
0
16 May 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
100
378
0
20 Apr 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
600
7,500
0
04 Apr 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
156
781
0
22 Dec 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
155
3,595
0
21 Nov 2016
Column Networks for Collective Classification
Column Networks for Collective Classification
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
GNN
116
145
0
15 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
686
29,183
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
198
10,924
0
03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
371
7,680
0
30 Jun 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
435
18,361
0
27 May 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
149
2,156
0
17 May 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
349
3,291
0
17 Nov 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
147
2,916
0
05 May 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
144
5,340
0
12 Mar 2015
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
584
27,345
0
01 Sep 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
275
9,816
0
26 Mar 2014
Adaptive Affinity Propagation Clustering
Adaptive Affinity Propagation Clustering
Kaijun Wang
Junying Zhang
Dan Li
Xinna Zhang
Tao Guo
83
218
0
08 May 2008
1