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Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations
EEGL is an iterative self-improving algorithm, which starts with a learned "vanilla" GNN, and repeatedly uses frequent subgraph mining to find relevant patterns in explanation subgraphs.
A Hybrid Approach to Word Sense Disambiguation Combining Supervised and Unsupervised Learning
Word Sense Disambiguation is used to find meaning of words based on live contexts using supervised and unsupervised approaches.
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