Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...
Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...
The new year brings some notable increases in savings and pension plan limits from the Canada Revenue Agency (CRA) - and a couple notable freezes. The RRSP contribution limit for 2026 has increased to ...
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