• Graph Structure Learning for Robust Graph Neural Networks🔍
• ChandlerBang/Pro|GNN🔍
• [PDF] Graph Structure Learning for Robust Graph Neural Networks🔍
• [2307.02126] Robust Graph Structure Learning with the Alignment of ...🔍
• YuanchenBei/Awesome|Graph|Structure|Learning🔍
• Robust Graph Structure Learning with Virtual Nodes Construction🔍
• GNNBook@2023🔍
• Graph structure learning🔍

Graph Structure Learning for Robust Graph Neural Networks - arXiv

We propose a general framework Pro-GNN, which can jointly learn a structural graph and a robust graph neural network model from the perturbed graph guided by ...

Graph Structure Learning for Robust Graph Neural Networks

We propose a general framework Pro-GNN, which can jointly learn a structural graph and a robust graph neural network model from the perturbed graph guided by ...

ChandlerBang/Pro-GNN: Implementation of the KDD 2020 ... - GitHub

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks" - ChandlerBang/Pro-GNN.

Graph Structure Learning for Robust Graph Neural Networks

In particular, we propose a general framework Pro-GNN, which can jointly learn a structural graph and a robust graph neural network model from the perturbed ...

[PDF] Graph Structure Learning for Robust Graph Neural Networks

A general framework Pro-GNN is proposed, which can jointly learn a structural graph and a robust graph neural network model from the perturbed graph guided ...

(PDF) Graph Structure Learning for Robust Graph Neural Networks

Abstract and Figures. Graph Neural Networks (GNNs) are powerful tools in representation learning for graphs. However, recent studies show that ...

Graph Structure Learning for Robust Graph Neural Networks

of GNN on the perturbed graph. 4. Graph Structure Learning for Robust Graph Neural Networks. KDD 2020. ▫ Graph dataset G = (A, X). ▫ Graph neural network f: f ...

Graph Structure Learning for Robust Graph Neural Networks

Pro-GNN [24] attempts to learn a new graph structure and a robust GNN model jointly from the perturbed graph guided by the properties of low-rank, sparsity, and ...

[2307.02126] Robust Graph Structure Learning with the Alignment of ...

To improve the robustness of graph neural networks (GNN), graph structure learning (GSL) has attracted great interest due to the pervasiveness ...

YuanchenBei/Awesome-Graph-Structure-Learning - GitHub

(KDD 2020) Graph Structure Learning for Robust Graph Neural Networks [PDF] [Code]. (NIPS 2020) Iterative Deep Graph Learning for Graph Neural Networks ...

DGSLN: Differentiable graph structure learning neural network for ...

In this work, we propose a novel differentiable graph structure learning neural network (DGSLN), which learns suitable graph structures for GNNs.

Robust Graph Structure Learning with Virtual Nodes Construction

Graph neural networks (GNNs) have garnered significant attention for their ability to effectively process graph-related data.

GNNBook@2023: Graph Neural Networks: Graph Structure Learning

Abstract. Due to the excellent expressive power of Graph Neural Networks (GNNs) on modeling graph-structure data, GNNs have achieved great success in ...

Graph structure learning | Papers With Code

Graph Structure Learning for Robust Graph Neural Networks. DSE-MSU/DeepRobust • • 20 May 2020. A natural idea to defend adversarial attacks is to clean the ...

PDF - ACM Digital Library

Robust Graph Neural Network Against Poisoning Attacks via. Transfer Learning. arXiv preprint arXiv:1908.07558 (2019). [29] Liwen Vaughan ...

Graph structure learning for robust graph neural networks - Papertalk

Papertalk is an open-source platform where scientists share video presentations about their newest scientific results - and watch, like + discuss them.

Speedup Robust Graph Structure Learning with Low-Rank Information

Recent studies have shown that graph neural networks (GNNs) are vulnerable to unnoticeable adversarial perturbations, which largely confines their deployment in ...

Learning Robust Graph Neural Networks with Limited Supervision

The performance of GNNs can degrade significantly as the number of labeled nodes decreases or the graph connectivity structure is corrupted by adversarial ...

Exploring High-Order Structure for Robust Graph ... - NASA ADS

Recent studies show that Graph Neural Networks (GNNs) are vulnerable to ... Exploring High-Order Structure for Robust Graph Structure Learning. Yang ...

Graph Structure Learning for Robust Graph Neural Networks. - DBLP

Bibliographic details on Graph Structure Learning for Robust Graph Neural Networks.