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Dynamic Graph Convolutional Networks

Dynamic Graph Convolutional Networks

20 April 2017
Franco Manessi
A. Rozza
M. Manzo
    GNN
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Papers citing "Dynamic Graph Convolutional Networks"

12 / 12 papers shown
Title
Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node Classification
Michael Ito
Danai Koutra
Jenna Wiens
75
1
0
29 Apr 2025
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
Ling Wang
Minglian Han
AI4CE
19
0
0
26 Apr 2025
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
25
0
0
19 Apr 2024
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph
  Neural Network Inference
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference
Han-Chen Chen
Cong Hao
GNN
AI4CE
15
9
0
13 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
20
14
0
12 Apr 2023
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
11
29
0
06 Apr 2022
Graph similarity learning for change-point detection in dynamic networks
Graph similarity learning for change-point detection in dynamic networks
Déborah Sulem
Henry Kenlay
Mihai Cucuringu
Xiaowen Dong
20
14
0
29 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
8
20
0
20 Mar 2022
On the Equivalence Between Temporal and Static Graph Representations for
  Observational Predictions
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
Jianfei Gao
Bruno Ribeiro
19
11
0
12 Mar 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of
  Time Series
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran
A. Mathews
Cheng Soon Ong
Lexing Xie
AI4TS
AI4CE
8
12
0
15 Feb 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
23
113
0
16 Dec 2020
Learning Human Activities and Object Affordances from RGB-D Videos
Learning Human Activities and Object Affordances from RGB-D Videos
H. Koppula
Rudhir Gupta
Ashutosh Saxena
83
723
0
04 Oct 2012
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