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07/26/2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Graph Neural Networks have emerged as an effective machine learning tool...
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06/15/2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Human mobility patterns have shown significant applications in policy-de...
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05/31/2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Graph Neural Networks (GNNs) have emerged as a powerful category of lear...
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05/27/2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Centralized Training with Decentralized Execution (CTDE) has recently em...
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04/15/2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Temporal graphs exhibit dynamic interactions between nodes over continuo...
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04/15/2023
Transition Propagation Graph Neural Networks for Temporal Networks
Researchers of temporal networks (e.g., social networks and transaction ...
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02/27/2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph, such as citation networks, social networks, and transportation ne...
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11/23/2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Value Decomposition (VD) aims to deduce the contributions of agents for ...
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07/25/2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural Networks
Researchers have recently proposed plenty of heterogeneous graph neural ...
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11/23/2021
Learning Dynamic Preference Structure Embedding From Temporal Networks
The dynamics of temporal networks lie in the continuous interactions bet...
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11/23/2021