Citeseer

Overview edit

Variants: Citeseer (weighted evaluation), Citeseer random partition, Citeseer Full-supervised, Citeseer (nonstandard variant), Citeseer (biased evaluation), Citeseer, CiteSeer with Public Split: fixed 5 nodes per class, CiteSeer with Public Split: fixed 20 nodes per class, CiteSeer (1%), CiteSeer (0.5%)

Associated Benchmarks

This dataset is used in 5 benchmarks:

• Link Prediction - Metrics: AUC, AP, Accuracy, ACC
• Community Detection - Metrics: ACC, NMI
• Graph Clustering - Metrics: ACC, NMI, ARI, F1, Precision, F score
• Graph Classification - Metrics: Accuracy
• Node Classification - Metrics: Accuracy, Training Split, Validation, 1:1 Accuracy, Accuracy (%), Inference Time (ms)

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• FIT-GNN: Faster Inference Time for GNNs Using Coarsening (2024) -
• Strong Transitivity Relations and Graph Neural Networks (2024) -
• Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures (2023) -
• Contrastive Deep Nonnegative Matrix Factorization for Community Detection (2023) -
• Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity (2023) -
• The Split Matters: Flat Minima Methods for Improving the Performance of GNNs (2023) -
• NESS: Node Embeddings from Static SubGraphs (2023) -
• TREE-G: Decision Trees Contesting Graph Neural Networks (2022) -
• DiffWire: Inductive Graph Rewiring via the Lovász Bound (2022) -
• Graph Representation Learning Beyond Node and Homophily (2022) -
• Understanding over-squashing and bottlenecks on graphs via curvature (2021) -
• Deeper-GXX: Deepening Arbitrary GNNs (2021) -
• Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (2021) -
• Neural Link Prediction with Walk Pooling (2021) -
• Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? (2021) -
• Variational Graph Normalized Auto-Encoders (2021) -
• Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (2021) -
• Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages (2021) -
• Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction (2021) -
• Cleora: A Simple, Strong and Scalable Graph Embedding Scheme (2021) -