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Found 2 papers, 1 papers with code
Pairwise Learning for Neural Link Prediction
The framework treats link prediction as a pairwise learning to rank problem and consists of four main components, i. e., neighborhood encoder, link predictor, negative sampler and objective function.
Ranked #1 on
Link Property Prediction
on ogbl-citation2
Long Short-Term Temporal Meta-learning in Online Recommendation
An effective online recommendation system should jointly capture users' long-term and short-term preferences in both users' internal behaviors (from the target recommendation task) and external behaviors (from other tasks).
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