X-GOAL: Multiplex heterogeneous graph prototypical contrastive learning

B Jing, S Feng, Y Xiang, X Chen, Y Chen… - Proceedings of the 31st …, 2022 - dl.acm.org
Graphs are powerful representations for relations among objects, which have attracted
plenty of attention in both academia and industry. A fundamental challenge for graph …
被引用次数：25 相关文章

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning

B Jing, S Feng, Y Xiang, X Chen… - 31st ACM International …, 2022 - experts.illinois.edu
Graphs are powerful representations for relations among objects, which have attracted
plenty of attention in both academia and industry. A fundamental challenge for graph …

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning

B Jing, S Feng, Y Xiang, X Chen, Y Chen, H Tong - CIKM, 2022 - par.nsf.gov
Graphs are powerful representations for relations among objects, which have attracted
plenty of attention in both academia and industry. A fundamental challenge for graph …

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning

B Jing, S Feng, Y Xiang, X Chen, Y Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
Graphs are powerful representations for relations among objects, which have attracted
plenty of attention. A fundamental challenge for graph learning is how to train an effective …

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning

B Jing, S Feng, Y Xiang, X Chen, Y Chen… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Graphs are powerful representations for relations among objects, which have attracted
plenty of attention. A fundamental challenge for graph learning is how to train an effective …