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Found 3 papers, 3 papers with code
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification
To address the scalability issue while maintaining generalization, we propose Stochastic Subgraph Neighborhood Pooling (SSNP), which jointly aggregates the subgraph and its neighborhood (i. e., external topology) information without any computationally expensive operations such as labeling tricks.
Simplifying Subgraph Representation Learning for Scalable Link Prediction
Link prediction on graphs is a fundamental problem.
Ranked #1 on
Link Property Prediction
on ogbl-citation2
Sampling Enclosing Subgraphs for Link Prediction
Graph neural networks have offered robust solutions for this problem, specifically by learning the representation of the subgraph enclosing the target link (i. e., pair of nodes).
