Cora
Canonical29papers using it
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2022first seen
The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 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 of
Papers using Cora (29)
- Forget and Explain: Transparent Verification of GNN UnlearningHyperbolic Graph Embeddings: a Survey and an Evaluation on Anomaly DetectionPruning and Quantization Impact on Graph Neural NetworksPolynomial Contrastive Learning for Privacy-Preserving Representation Learning on GraphsPredicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph LaplacianBit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit SearchGraph Attention Specialized Expert Fusion Model for Node Classification: Based on Cora and Pubmed DatasetsGCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering NetworkP-DROP: Poisson-Based Dropout for Graph Neural NetworksABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningGKAN: Graph Kolmogorov-Arnold NetworksCertified Graph UnlearningLanguage is All a Graph NeedsHyperAttack: Multi-Gradient-Guided White-box Adversarial Structure
Attack of Hypergraph Neural NetworksAttend 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 SupervisionGraph Agent: Explicit Reasoning Agent for GraphsAttacks on Node Attributes in Graph Neural NetworksRobust Subgraph Learning by Monitoring Early Training RepresentationsHypergraph convolutional neural network-based clustering techniqueBinary Graph Convolutional Network with Capacity ExplorationRevisiting Graph Contrastive Learning for Anomaly DetectionNode 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