conftrace_

semi-supervised node classification

19 papers

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Also known as

SSNC

Co-occurring keywords

graph neural network (3962) graph convolutional network (658) node classification (482) semi-supervised learning (2341) graph structure (190) heterophilic graph (26) markov random field (303) fraud detection (79) spectral analysis (239) message passing (579)

Papers

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum AAAI 2024
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification AAAI 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks AAAI 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks NIPS 2024
Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023
Towards Label Position Bias in Graph Neural Networks NIPS 2023
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification IJCAI 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022
$p$-Laplacian Based Graph Neural Networks ICML 2022
Explicit pairwise factorized graph neural network for semi-supervised node classification UAI 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification NIPS 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021
Data Augmentation for Graph Neural Networks AAAI 2021
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples UAI 2020
Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product IJCAI 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks NIPS 2020
Fisher-Bures Adversary Graph Convolutional Networks UAI 2019