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09/09/2023
Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach
Maximizing influences in complex networks is a practically important but...
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08/16/2023
The Expressive Power of Graph Neural Networks: A Survey
Graph neural networks (GNNs) are effective machine learning models for m...
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07/08/2023
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks
Heterogeneous Information Networks (HINs) are information networks with ...
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12/15/2020
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
Large knowledge graphs often grow to store temporal facts that model the...
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10/07/2020
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer
Predicting missing facts in a knowledge graph (KG) is a crucial task in ...
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05/31/2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Graph neural networks (GNNs) are shown to be successful in modeling appl...
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05/24/2019
