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cs.LG2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks
Dingmin Wang, Shengchao Liu, Hanchen Wang +5
Graph Neural Networks (GNNs) are effective tools for graph representation learning. Most GNNs rely on a recursive neighborhood aggregation scheme, named message passing, thereby th…
cs.LG2022★ 3 cited
Cardinality-Minimal Explanations for Monotonic Neural Networks
Ouns El Harzli, Bernardo Cuenca Grau, Ian Horrocks
In recent years, there has been increasing interest in explanation methods for neural model predictions that offer precise formal guarantees. These include abductive (respectively,…