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05/30/2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
With the growing popularity of various mobile devices, user targeting ha...
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04/25/2023
COUPA: An Industrial Recommender System for Online to Offline Service Platforms
Aiming at helping users locally discovery retail services (e.g., enterta...
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04/25/2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning
Recently, the growth of service platforms brings great convenience to bo...
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07/27/2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
E-commerce has gone a long way in empowering merchants through the inter...
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05/17/2022
KGNN: Distributed Framework for Graph Neural Knowledge Representation
Knowledge representation learning has been commonly adopted to incorpora...
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04/23/2022
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Session-based Recommendation (SBR) refers to the task of predicting the ...
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03/03/2022
Neural Graph Matching for Pre-training Graph Neural Networks
Recently, graph neural networks (GNNs) have been shown powerful capacity...
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03/01/2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022
Temporal link prediction, as one of the most crucial work in temporal gr...
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01/27/2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Graph Convolutional Networks (GCNs) have recently attracted vast interes...
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04/02/2021
GRN: Generative Rerank Network for Context-wise Recommendation
Reranking is attracting incremental attention in the recommender systems...
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08/13/2020
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task for many industri...
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05/25/2020
