Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks

no code implementations • 30 Nov 2023 • Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin

Graph contrastive learning has shown great promise when labeled data is scarce, but large unlabeled datasets are available.

Contrastive Learning Node Classification

Hodge-Aware Contrastive Learning

no code implementations • 14 Sep 2023 • Alexander Möllers, Alexander Immer, Vincent Fortuin, Elvin Isufi

We leverage this decomposition to develop a contrastive self-supervised learning approach for processing simplicial data and generating embeddings that encapsulate specific spectral information. Specifically, we encode the pertinent data invariances through simplicial neural networks and devise augmentations that yield positive contrastive examples with suitable spectral properties for downstream tasks.

Contrastive Learning Self-Supervised Learning