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FDGATII : Fast Dynamic Graph Attention with Initial Residual and
  Identity Mapping

FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping

21 October 2021
Gayan K. Kulatilleke
Marius Portmann
Ryan K. L. Ko
Shekhar S. Chandra
ArXivPDFHTML

Papers citing "FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping"

7 / 7 papers shown
Title
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Gayan K. Kulatilleke
Shekhar S. Chandra
Marius Portmann
34
0
0
15 Dec 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximation
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
29
3
0
28 Sep 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph Clustering
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
31
8
0
27 Apr 2022
Graph Decipher: A transparent dual-attention graph neural network to
  understand the message-passing mechanism for the node classification
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
Yan Pang
Chao Liu
GNN
24
8
0
04 Jan 2022
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
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
250
3,236
0
24 Nov 2016
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