RecSys 2021 Keynote: Graph Neural Networks for Knowledge Representation and Recommendation

RecSys 2021 Keynote: Graph Neural Networks for Knowledge Representation and Recommendation

GReS: Workshop on Graph Neural Networks for Recommendation and SearchПодробнее

GReS: Workshop on Graph Neural Networks for Recommendation and Search

ISARC 2023 Keynote - BIM-based construction quality assessment using Graph Neural NetworksПодробнее

ISARC 2023 Keynote - BIM-based construction quality assessment using Graph Neural Networks

Learning Intents behind Interactions with Knowledge Graph for RecommendationПодробнее

Learning Intents behind Interactions with Knowledge Graph for Recommendation

AWS ML Summit 2021 | Deep Graph Library: Deep Graph learning at scaleПодробнее

AWS ML Summit 2021 | Deep Graph Library: Deep Graph learning at scale

Recsys 2021: Online Learning for Recommendations at Grubhub - Alex EggПодробнее

Recsys 2021: Online Learning for Recommendations at Grubhub - Alex Egg

IJCAI'2021 Tutorial Graph Neural Networks for Recommendations by Wenqi FanПодробнее

IJCAI'2021 Tutorial Graph Neural Networks for Recommendations by Wenqi Fan

Session 7: Streaming Session Based Recommendation: When Graph Neural Networks meet the NeighborhoodПодробнее

Session 7: Streaming Session Based Recommendation: When Graph Neural Networks meet the Neighborhood

Research talk: Attentive knowledge-aware graph neural networks for recommendationПодробнее

Research talk: Attentive knowledge-aware graph neural networks for recommendation

ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M BronsteinПодробнее

ICLR 2021 Keynote - 'Geometric Deep Learning: The Erlangen Programme of ML' - M Bronstein

RecSys 2020 Session P5A: Real World Applications IIПодробнее

RecSys 2020 Session P5A: Real World Applications II

Keynote: Mounia LalmasПодробнее

Keynote: Mounia Lalmas

Employing knowledge graphs and Graph Neural Networks (GNNs) for patent research (AI & Patents 2021)Подробнее

Employing knowledge graphs and Graph Neural Networks (GNNs) for patent research (AI & Patents 2021)

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationПодробнее

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

Building Recommendation Systems Using Graph Neural NetworksПодробнее

Building Recommendation Systems Using Graph Neural Networks

Conversational recommendations for Alexa | RecSys 2021 | Amazon ScienceПодробнее

Conversational recommendations for Alexa | RecSys 2021 | Amazon Science

Deep Recommender System: Fundamentals and Advances - Graph Neural Networks for RecommendationsПодробнее

Deep Recommender System: Fundamentals and Advances - Graph Neural Networks for Recommendations