69 citations · 201 across the 15 of their papers we have counts for
3 papers · 1 filter
Continuous Neural Algorithmic Planners
Yu He, Petar Veličković, Pietro Liò +1
Neural algorithmic reasoning studies the problem of learning algorithms with neural networks, especially with graph architectures. A recent proposal, XLVIN, reaps the benefits of u…
Expander Graph Propagation
Andreea Deac, Marc Lackenby, Petar Veličković
Deploying graph neural networks (GNNs) on whole-graph classification or regression tasks is known to be challenging: it often requires computing node features that are mindful of b…
A Generalist Neural Algorithmic Learner
Borja Ibarz, Vitaly Kurin, George Papamakarios +12
The cornerstone of neural algorithmic reasoning is the ability to solve algorithmic tasks, especially in a way that generalises out of distribution. While recent years have seen a…