ProPRL improves prerequisite relation prediction by fusing resource and behavior graph views with a pair-adaptive gate and an anti-symmetry regularizer, achieving the best reported numbers on three benchmarks.
InProceedings of the 33rd AAAI con- ference on artificial intelligence (AAAI 2019), volume 33, 9589–9594
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ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs
ProPRL improves prerequisite relation prediction by fusing resource and behavior graph views with a pair-adaptive gate and an anti-symmetry regularizer, achieving the best reported numbers on three benchmarks.