2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Geometric instability of graph neural networks on large graphs
Emily Morris, Haotian Shen, Weiling Du +2
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 dom…
cs.LG2023★ 2 cited
Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis
Eirik Fladmark, Muhammad Hamza Sajjad, Laura Brinkholm Justesen
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, Fishe…
cs.AI2022
Neural Network Learner for Minesweeper
M Hamza Sajjad
Minesweeper is an interesting single player game based on logic, memory and guessing. Solving Minesweeper has been shown to be an NP-hard task. Deterministic solvers are the best k…