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Collective Classification in Network Data
The Collective Classification in Network Data dataset is used for graph neural network research. -
Cora, Citeseer, and Polblogs datasets
The Cora, Citeseer, and Polblogs datasets are widely used for graph neural network research. -
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variat...
Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural... -
SRG(25, 12, 5, 6)
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets. -
RandomGraph
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets. -
Beyond 1-WL with Local Ego-Network Encodings
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets. -
Correlation Clustering
Graph neural networks (GNNs) are a powerful family of models that operate over graph-structured data and have achieved state-of-the-art performance on node and graph... -
Learnt Sparsification for Interpretable Graph Neural Networks
Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as... -
TWOSIDES100
Drug-drug interaction prediction datasets -
DRUGBANK3 and TWOSIDES100
Drug-drug interaction prediction datasets -
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks -
Object-agnostic State Classification
The proposed method for Object-agnostic State Classification (OaSC) combines structured knowledge on object states with visual information that relates the appearance of certain... -
Graph U-Nets
Graph U-Nets for node classification and graph classification tasks -
Graph Classification and Graph Signal Classification Datasets
The dataset used in this paper is a collection of graphs for graph classification and graph signal classification tasks. -
CORA, Citeseer, Pubmed, OGB arXiv
CORA, Citeseer, Pubmed, OGB arXiv -
Nine Graphs with Different Degrees of Homophily
The dataset used in the paper is a collection of nine graphs with different degrees of homophily. -
Comprehensive Survey on Graph Neural Networks
The dataset used in the paper is a comprehensive survey on graph neural networks.
