CiteSeer

The CiteSeer dataset consists of 3312 scientific publications classified into one of six classes. The citation network consists of 4732 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists o

Papers using CiteSeer (29)

P-DROP: Poisson-Based Dropout for Graph Neural Networks2025Graph Attention Networks2017 · 8,350 citesGraph Adversarial Training: Dynamically Regularizing Based on Graph Structure2019 · 219 citesGraph Wavelet Neural Network2019 · 78 citesN-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification2018 · 36 citesDual-Primal Graph Convolutional Networks2018 · 36 citesMulti-hop Attention Graph Neural Network2020 · 35 citesReliable Graph Neural Networks via Robust Aggregation2020 · 24 citesKeep It Simple: Graph Autoencoders Without Graph Convolutional Networks2019 · 22 citesGraph Condensation for Graph Neural Networks2021 · 20 citesLocal Augmentation for Graph Neural Networks2021 · 19 citesGraph Inference Learning for Semi-supervised Classification2020 · 18 citesHigher-order Weighted Graph Convolutional Networks2019 · 13 citesA Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification2021 · 13 citesGraph Convolutional Networks using Heat Kernel for Semi-supervised Learning2020 · 8 citesEvery Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning2018 · 6 citesMulti-view graph structure learning using subspace merging on Grassmann manifold2022 · 4 citesGraphMix: Improved Training of GNNs for Semi-Supervised Learning2019 · 2 citesRobust Subgraph Learning by Monitoring Early Training Representations2024 · 1 citesTinyGraph: Joint Feature and Node Condensation for Graph Neural Networks2024 · 1 citesProbabilistic and Regularized Graph Convolutional Networks2018Graph Representation Learning Network via Adaptive Sampling2020Lookup subnet based Spatial Graph Convolutional neural Network2021Adaptive Multi-layer Contrastive Graph Neural Networks2021Exploring High-Order Structure for Robust Graph Structure Learning2022Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks2024Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching2024Focus Where It Matters: Graph Selective State Focused Attention Networks2024AutoGraph: Automated Graph Neural Network2020