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Abstract: Analyzing large, multivariate graphs is an important problem in many domains, yet such graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table ...

Implementation and comparison of SARSA and Q-Learning algorithms across 12 variants of a 10x10 Grid World with stochastic transitions and wind effects, evaluating learning performance through reward ...

To overcome these challenges, we propose GEGA, a novel model for DocRE. The model leverages graph neural networks to construct multiple weight matrices, guiding attention allocation to evidence ...