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Semi-Supervised Heterogeneous Information Network Embedding for Node Classification Using 1D-CNN.

, , and . SNAMS, page 177-181. IEEE, (2018)

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gat2vec: representation learning for attributed graphs., , and . Computing, 101 (3): 187-209 (2019)Network and Cascade Representation Learning: Algorithms based on Information Diffusion Events.. University of Trento, Italy, (2019)base-search.net (ftutrentophd:oai:eprints-phd.biblio.unitn.it:3461).SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding., , , and . WWW (Companion Volume), page 1157-1166. ACM, (2022)Semi-Supervised Heterogeneous Information Network Embedding for Node Classification Using 1D-CNN., , and . SNAMS, page 177-181. IEEE, (2018)Gossip and Attend: Context-Sensitive Graph Representation Learning., and . ICWSM, page 351-359. AAAI Press, (2020)Graph2Feat: Inductive Link Prediction via Knowledge Distillation., , and . WWW (Companion Volume), page 805-812. ACM, (2023)Detecting Security Patches in Java Projects Using NLP Technology., , , , , , and . ICNLSP, page 50-56. Association for Computational Linguistics, (2022)Graph Neighborhood Attentive Pooling., and . CoRR, (2020)Self-supervised Graph Neural Networks without explicit negative sampling., and . CoRR, (2021)A Simple Approach to Attributed Graph Embedding via Enhanced Autoencoder., , and . COMPLEX NETWORKS (1), volume 881 of Studies in Computational Intelligence, page 797-809. Springer, (2019)