HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation

Y Li, Z Fan, D Yin, R Jiang, J Deng, X Song - World Wide Web, 2023 - Springer
Friend recommendation from user trajectory is a vital real-world application of location-
based social networks (LBSN) services. Previous statistical analysis indicated that social …
被引用次数：13 相关文章

[引用][C] HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation

Y Li, Z Fan, RJ Du Yin, J Deng, X Song - World Wide Web, 2022 - cir.nii.ac.jp
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation

Y Li, Z Fan, D Yin, R Jiang, J Deng, X Song - World Wide Web, 2023 - dl.acm.org
Friend recommendation from user trajectory is a vital real-world application of location-
based social networks (LBSN) services. Previous statistical analysis indicated that social …