Huizhe Zhang
1 indexed paper
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126
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ML×1Neural Computing×1
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2026
Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs
This paper proposes SG-JEPA, a method for learning predictive embeddings for large-scale dynamic graphs by partitioning nodes into context and target sets and encoding sequential inputs into spike count embeddings.
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Papers
cs.LGcs.NEEmpiricalRecentJul 20, 2026
Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs
Huizhe Zhang, Yuchang Zhu, Huazhen Zhong, Liang Chen +1 more
This paper proposes SG-JEPA, a method for learning predictive embeddings for large-scale dynamic graphs by partitioning nodes into context and target sets and encoding sequential inputs into spike cou…
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