Aug 31, 2024 · We propose a novel clip-based Dynamic Signed Directed Graph Neural Networks model (DySDGNN). In DySDGNN, we design three components.
DySDGNN: Representation Learning in Dynamic Signed Directed Networks. https://doi.org/10.1007/978-981-97-5572-1_19 ·. Journal: Lecture Notes in Computer ...
DySDGNN: Representation Learning in Dynamic Signed Directed Networks. Z. Liu, and Y. Wang. DASFAA (6), volume 14855 of Lecture Notes in Computer Science, ...
Oct 21, 2023 · In this work, we propose a new Graph Neural Network (GNN)-based approach to model dynamic signed networks, named SEMBA: Signed link's Evolution ...
May 7, 2024 · DySDGNN: Representation Learning in Dynamic Signed Directed Networks. Chapter. Aug 2024. Zihao Liu · Yitong Wang · View · Trustworthiness-Driven ...
Jan 7, 2021 · We propose a novel Signed Directed Graph Neural Networks model named SDGNN to learn node embeddings for signed directed networks.
Missing: DySDGNN: Dynamic
In this work, we incorporate balance theory to effectively learn representations of continuous-time dynamic networks. To the best of our knowledge, ...
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Missing: DySDGNN: Dynamic
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DySDGNN: Representation Learning in Dynamic Signed Directed Networks. Zihao Liu, Yitong Wang. https://doi.org/10.1007/978-981-97-5572-1_19 ·. 2024, Lecture ...
DySDGNN: Representation Learning in Dynamic Signed Directed Networks. Chapter 19, Graph and Network. Liu, Zihao;Wang, Yitong. Lecture ...