Papers › Simplifying Subgraph Representation Learning for Scalable Link Prediction
Simplifying Subgraph Representation Learning for Scalable Link Prediction
Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari
Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art performance in link prediction. However, SGRLs are computationally expensive, and not scalable to large-scale graphs due to expensive subgraph-level operations. To unlock the scalability of SGRLs, we propose a new class of SGRLs, that we call Scalable Simplified SGRL (S3GRL). Aimed at faster training and inference, S3GRL simplifies the message passing and aggregation operations in each link's subgraph. S3GRL, as a scalability framework, accommodates various subgraph sampling strategies and diffusion operators to emulate computationally-expensive SGRLs. We propose multiple instances of S3GRL and empirically study them on small to large-scale graphs. Our extensive experiments demonstrate that the proposed S3GRL models scale up SGRLs without significant performance compromise (even with considerable gains in some cases), while offering substantially lower computational footprints (e.g., multi-fold inference and training speedup).
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Link Property Prediction | ogbl-citation2 | S3GRL (PoS Plus) | Ext. data | No | #9 of 23 | Archive leaderboard | report |
| Link Property Prediction | ogbl-citation2 | S3GRL (PoS Plus) | Number of params | 142275001 | #9 of 23 | Archive leaderboard | report |
| Link Property Prediction | ogbl-citation2 | S3GRL (PoS Plus) | Test MRR | 0.8814 ± 0.0008 | #9 of 23 | Archive leaderboard | report |
| Link Property Prediction | ogbl-citation2 | S3GRL (PoS Plus) | Validation MRR | 0.8809 ± 0.0074 | #9 of 23 | Archive leaderboard | report |
| Link Property Prediction | ogbl-collab | S3GRL (PoS Plus) | Ext. data | No | #11 of 34 | Archive leaderboard | report |
| Link Property Prediction | ogbl-collab | S3GRL (PoS Plus) | Number of params | 5913025 | #11 of 34 | Archive leaderboard | report |
| Link Property Prediction | ogbl-collab | S3GRL (PoS Plus) | Test Hits@50 | 0.6683 ± 0.0030 | #11 of 34 | Archive leaderboard | report |
| Link Property Prediction | ogbl-collab | S3GRL (PoS Plus) | Validation Hits@50 | 0.9861 ± 0.0006 | #11 of 34 | Archive leaderboard | report |
| Link Property Prediction | ogbl-ppa | S3GRL (PoS Plus) | Ext. data | No | #16 of 26 | Archive leaderboard | report |
| Link Property Prediction | ogbl-ppa | S3GRL (PoS Plus) | Number of params | 32270001 | #16 of 26 | Archive leaderboard | report |
| Link Property Prediction | ogbl-ppa | S3GRL (PoS Plus) | Test Hits@100 | 0.4242 ± 0.0180 | #16 of 26 | Archive leaderboard | report |
| Link Property Prediction | ogbl-ppa | S3GRL (PoS Plus) | Validation Hits@100 | 0.6512 ± 0.0109 | #16 of 26 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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