122 citations · 258 across the 19 of their papers we have counts for
6 papers · 1 filter
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Graph representation learning models have demonstrated great capability in many real-world applications. Nevertheless, prior research indicates that these models can learn biased r…
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Sequential recommendation aims to recommend the next item of users' interest based on their historical interactions. Recently, the self-attention mechanism has been adapted for seq…
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation
Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy +1
Session-based recommendation aims to generate recommendations for the next item of users' interest based on a given session. In this manuscript, we develop prospective preference e…
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Saket Gurukar, Nikil Pancha, Andrew Zhai +5
Graph Convolutional Networks (GCN) can efficiently integrate graph structure and node features to learn high-quality node embeddings. These embeddings can then be used for several…
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus
Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj +7
The UMLS Metathesaurus integrates more than 200 biomedical source vocabularies. During the Metathesaurus construction process, synonymous terms are clustered into concepts by human…
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
Sean Current, Yuntian He, Saket Gurukar +1
As machine learning becomes more widely adopted across domains, it is critical that researchers and ML engineers think about the inherent biases in the data that may be perpetuated…