Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Sajjad, Muhammad Hamza"'
We analyse the geometric instability of embeddings produced by graph neural networks (GNNs). Existing methods are only applicable for small graphs and lack context in the graph domain. We propose a simple, efficient and graph-native Graph Gram Index
Externí odkaz:
http://arxiv.org/abs/2308.10099
In this paper, we explore the performance of different pruning methods in the context of the lottery ticket hypothesis. We compare the performance of L1 unstructured pruning, Fisher pruning, and random pruning on different network architectures and p
Externí odkaz:
http://arxiv.org/abs/2303.15479