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Nov 5, 2021 · Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. Authors:Puja Trivedi, Ekdeep Singh Lubana, ...
Apr 25, 2022 · Motivated by these discrepancies, we seek to determine why existing graph CL frameworks continue to perform well, and identify flawed practices ...
Apr 29, 2022 · We seek to determine why existing graph CL frameworks continue to perform well, and identify flawed practices in graph data augmentation and popular graph CL ...
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices · Puja Trivedi, Ekdeep Singh Lubana, +2 authors. Danai ...
Nov 5, 2021 · ... Contrastive Learning: Current Methodological Flaws ... Through extensive analysis, we identify flawed practices in graph data augmentation ...
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices, in The WebConf 2022. [pdf]. Contrastive Self-supervised ...
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. from www.catalyzex.com
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices: Paper and Code. Graph classification has applications ...
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. P Trivedi, ES Lubana, Y Yan, Y Yang, D Koutra.
Read previous issues. Subscribe. Join the community. ×. You need to log in to ... to state-of-the-art methods. We also investigate the impact of ...
Missing: Methodological Flaws Practices.