Papers › Simplifying Subgraph Representation Learning for Scalable Link Prediction

Simplifying Subgraph Representation Learning for Scalable Link Prediction

29 Jan 2023arXiv:2301.12562archive 2025-07-28

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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venomouscyanide/s3grl officialmentioned in papermentioned on GitHubpytorch report
venomouscyanide/s3grl_ogb officialmentioned in papermentioned on GitHubpytorch report
venomouscyanide/S3GRL_OGB mentioned on GitHubpytorch report

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Tasks

Graph ClassificationGraph LearningGraph Representation LearningLink PredictionPredictionRepresentation Learning

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
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

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