17 citations · 22 across the 4 of their papers we have counts for
3 papers · 1 filter
Neural Priority Queues for Graph Neural Networks
Rishabh Jain, Petar Veličković, Pietro Liò
Graph Neural Networks (GNNs) have shown considerable success in neural algorithmic reasoning. Many traditional algorithms make use of an explicit memory in the form of a data struc…
Learning Graph Search Heuristics
Michal Pándy, Weikang Qiu, Gabriele Corso +4
Searching for a path between two nodes in a graph is one of the most well-studied and fundamental problems in computer science. In numerous domains such as robotics, AI, or biology…
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…