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Permutohedral-GCN: Graph Convolutional Networks with Global Attention

Permutohedral-GCN: Graph Convolutional Networks with Global Attention

2 March 2020
Hesham Mostafa
Marcel Nassar
ArXiv (abs)PDFHTML

Papers citing "Permutohedral-GCN: Graph Convolutional Networks with Global Attention"

5 / 5 papers shown
Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
Shalima Binta Manir
Tim Oates
GNN
235
0
0
18 Aug 2025
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph
  Convolutional Networks
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun
Ajith Kumar
Guanci Yang
Qikui Zhu
Yiyun Zhang
Ansi Zhang
Dhruv Makwana
SSLGNN
331
0
0
17 Aug 2021
On Local Aggregation in Heterophilic Graphs
On Local Aggregation in Heterophilic Graphs
Hesham Mostafa
Marcel Nassar
Somdeb Majumdar
185
4
0
06 Jun 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features
WGCN: Graph Convolutional Networks with Weighted Structural FeaturesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Yunxiang Zhao
Jianzhong Qi
Qingwei Liu
Rui Zhang
GNN
349
41
0
29 Apr 2021
Zero-Shot Multi-View Indoor Localization via Graph Location Networks
Zero-Shot Multi-View Indoor Localization via Graph Location NetworksACM Multimedia (ACM MM), 2020
Meng-Jiun Chiou
Zhenguang Liu
Yifang Yin
Anan Liu
Roger Zimmermann
176
29
0
06 Aug 2020
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