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02/02/2023
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future f...
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08/16/2021
Deep Contrastive Learning for Multi-View Network Embedding
Multi-view network embedding aims at projecting nodes in the network to ...
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04/15/2021
Dynamic Graph Neural Networks for Sequential Recommendation
Modeling users' preference from his historical sequences is one of the c...
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01/08/2021
Dynamic Graph Collaborative Filtering
Dynamic recommendation is essential for modern recommender systems to pr...
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10/19/2020
Mechanism Design for Facility Location Games with Candidate Locations
We study the facility location games with candidate locations from a mec...
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10/19/2020
Price of Fairness in Budget Division for Egalitarian Social Welfare
We study a participatory budgeting problem of aggregating the preference...
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10/20/2019
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation
The problem of personalized session-based recommendation aims to predict...
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06/27/2019