CiteSeer
Canonical21papers using it
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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 (21)
- Forget and Explain: Transparent Verification of GNN UnlearningPolynomial Contrastive Learning for Privacy-Preserving Representation Learning on GraphsPredicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph LaplacianP-DROP: Poisson-Based Dropout for Graph Neural NetworksABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningL^2GC:Lorentzian Linear Graph Convolutional Networks for Node
ClassificationAttend Who is Weak: Enhancing Graph Condensation via Cross-Free
Adversarial TrainingGraph Neural Networks Need Cluster-Normalize-Activate ModulesOnline Cross-Layer Knowledge Distillation on Graph Neural Networks with
Deep SupervisionAttacks on Node Attributes in Graph Neural NetworksRobust Subgraph Learning by Monitoring Early Training RepresentationsTinyGraph: Joint Feature and Node Condensation for Graph Neural NetworksHypergraph convolutional neural network-based clustering techniqueBinary Graph Convolutional Network with Capacity ExplorationCollective Robustness Certificates: Exploiting Interdependence in Graph
Neural NetworksNode Classification via Semantic-Structural Attention-Enhanced Graph
Convolutional NetworksGraph Convolutional Network For Semi-supervised Node Classification With
Subgraph SketchingGRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional
Contrastive LearningFocus Where It Matters: Graph Selective State Focused Attention NetworksMultistage non-deterministic classification using secondary concept
graphs and graph convolutional networks for high-level feature extractionNode Classification With Integrated Reject Option