Bags of Tricks in OGB (node classification) with GCNs.
Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
AA-DC is a structural correction framework for link prediction. It addresses two systematic biases that arise when relational feasibility is evaluated under coarse recognition mappings, such as Adamic–Adar (AA).
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