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06/25/2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Graph convolutional networks (GCNs) have achieved huge success in severa...
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11/17/2022
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning
Graph representation learning models have been deployed for making decis...
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05/21/2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Graph Convolutional Networks (GCN) can efficiently integrate graph struc...
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01/27/2022
FairMod: Fair Link Prediction and Recommendation via Graph Modification
As machine learning becomes more widely adopted across domains, it is cr...
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01/27/2020
Towards Quantifying the Distance between Opinions
Increasingly, critical decisions in public policy, governance, and busin...
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05/02/2019
Network Representation Learning: Consolidation and Renewed Bearing
Graphs are a natural abstraction for many problems where nodes represent...
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