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GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.

, , , , и . IJCNN, стр. 1-8. IEEE, (2021)

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Yu-Ting Yu

Yu-Yu Su

Sze-Man Yu

Metal complexes with enolatoimine ligands for controlled olefin polymerizations. Uni Konstanz, (2009)

Xin Yu

Yu Chen

 

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False Information Detection on Social Media via a Hybrid Deep Model., , , , и . SocInfo (2), том 11186 из Lecture Notes in Computer Science, стр. 323-333. Springer, (2018)Not all edges are peers: Accurate structure-aware graph pooling networks., , , и . Neural Networks, (2022)Graph structure learning based on feature and label consistency., , , , , и . Intell. Data Anal., 26 (6): 1539-1555 (2022)Unsupervised Domain Adaptation with Unified Joint Distribution Alignment., , , , , и . DASFAA (2), том 12682 из Lecture Notes in Computer Science, стр. 449-464. Springer, (2021)DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning., , , , , и . DASFAA (1), том 12681 из Lecture Notes in Computer Science, стр. 375-384. Springer, (2021)GSAPool: Gated Structure Aware Pooling for Graph Representation Learning., , , , и . IJCNN, стр. 1-8. IEEE, (2021)A unified structure learning framework for graph attention networks., , , , , и . Neurocomputing, (2022)Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network., , , , и . IEEE Access, (2021)DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning., , , и . ISPA/BDCloud/SocialCom/SustainCom, стр. 220-227. IEEE, (2022)Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks., , , , , и . CIKM, стр. 2466-2476. ACM, (2021)