Graph Structure Learning

[2019 ICML]Learning discrete structures for graph neural networks
[2019 CVPR]Semi-supervised Learning with Graph Learning-Convolutional Networks
[2019 Neurips]A Flexible Generative Framework for Graph-based Semi-supervised Learning
[2020 Neurips]Deep Iterative and Adaptive Learning for Graph Neural Networks
[2020 Neurips]Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
[2021 ICDE]Graph Sparsification via Meta-Learning
[2022 TPAMI]Differentiable graph module (dgm) for graph convolutional networks
[2023 Neurips]GSLB- The Graph Structure Learning Benchmark
[2022 IJCAI]A Survey on Graph Structure Learning- Progress and Opportunities
[2023 Neurips]OpenGSL- A Comprehensive Benchmark for Graph Structure Learning
[2024]GraphEdit- Large Language Models for Graph Structure Learning