graph augmentation

Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023 Provable Training for Graph Contrastive Learning NeurIPS 2023 Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023 Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023 Spectral Augmentations for Graph Contrastive Learning AISTATS 2023 Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning AAAI 2023 Universal Graph Contrastive Learning with a Novel Laplacian Perturbation UAI 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NeurIPS 2023 AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators AAAI 2022 Bootstrapping Informative Graph Augmentation via A Meta Learning Approach IJCAI 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NeurIPS 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NeurIPS 2022 Adversarial Graph Augmentation to Improve Graph Contrastive Learning NeurIPS 2021 Contrastive Self-supervised Learning for Graph Classification AAAI 2021 Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020 Graph Contrastive Learning with Augmentations NeurIPS 2020 Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL 2020