conftrace_

neighbor sampling

10 papers

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Co-occurring keywords · papers mentioning both

graph neural network (5) graph convolutional network (2) variance reduction (2) self-supervised learning (2) group discrimination (1) large-scale graph (1) synthetic noise (1) noisy image (1) neural network (1) self-supervised denoising (1)

Papers

Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion ACL 2024 Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NeurIPS 2023 Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs NeurIPS 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 A Biased Graph Neural Network Sampler with Near-Optimal Regret NeurIPS 2021 Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks IJCAI 2021 Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images CVPR 2021 Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NeurIPS 2019 Stochastic Training of Graph Convolutional Networks with Variance Reduction ICML 2018