Cora
Canonical29papers using it
2017first seen
A citation-network benchmark for node classification (papers linked by citations, classified by topic).
Papers using Cora (29)
- GCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering NetworkP-DROP: Poisson-Based Dropout for Graph Neural NetworksGraph Attention NetworksGraph Adversarial Training: Dynamically Regularizing Based on Graph
StructureGraph Wavelet Neural NetworkN-GCN: Multi-scale Graph Convolution for Semi-supervised Node
ClassificationDual-Primal Graph Convolutional NetworksMulti-hop Attention Graph Neural NetworkKeep It Simple: Graph Autoencoders Without Graph Convolutional NetworksLocal Augmentation for Graph Neural NetworksGraph Inference Learning for Semi-supervised ClassificationHigher-order Weighted Graph Convolutional NetworksA Deep Graph Wavelet Convolutional Neural Network for Semi-supervised
Node ClassificationGraph Convolutional Networks using Heat Kernel for Semi-supervised
LearningEvery Node Counts: Self-Ensembling Graph Convolutional Networks for
Semi-Supervised LearningMulti-view graph structure learning using subspace merging on Grassmann
manifoldGraph Embedding with Rich Information through Heterogeneous NetworkGraphMix: Improved Training of GNNs for Semi-Supervised LearningPre-train and Learn: Preserve Global Information for Graph Neural
NetworksRobust Subgraph Learning by Monitoring Early Training RepresentationsProbabilistic and Regularized Graph Convolutional NetworksGraph Representation Learning Network via Adaptive SamplingLookup subnet based Spatial Graph Convolutional neural NetworkAdaptive Multi-layer Contrastive Graph Neural NetworksExploring High-Order Structure for Robust Graph Structure LearningNode Classification via Semantic-Structural Attention-Enhanced Graph
Convolutional NetworksGraph Convolutional Network For Semi-supervised Node Classification With
Subgraph SketchingFocus Where It Matters: Graph Selective State Focused Attention NetworksAutoGraph: Automated Graph Neural Network