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SpikE: spike-based embeddings for multi-relational graph data
v1v2 (latest)

SpikE: spike-based embeddings for multi-relational graph data

27 April 2021
Dominik Dold
J. Garrido
    GNN
ArXiv (abs)PDFHTML

Papers citing "SpikE: spike-based embeddings for multi-relational graph data"

4 / 4 papers shown
Title
Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
GNN
84
34
0
15 Aug 2022
Neuro-symbolic computing with spiking neural networks
Neuro-symbolic computing with spiking neural networks
Dominik Dold
J. Garrido
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
NAI
84
6
0
04 Aug 2022
Relational representation learning with spike trains
Relational representation learning with spike trains
Dominik Dold
43
4
0
18 May 2022
Learning through structure: towards deep neuromorphic knowledge graph
  embeddings
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
Dominik Dold
GNN
73
7
0
21 Sep 2021
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