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— Unverified 0 SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention Jan 27, 2023 Classification Federated Learning
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— Unverified 0 Stabilized Self-training with Negative Sampling on Few-labeled Graph Data Sep 29, 2021 Benchmarking Node Classification
— Unverified 0 Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model Mar 3, 2025 Node Classification Stochastic Block Model
— Unverified 0 Streaming Graph Neural Networks via Continual Learning Sep 23, 2020 Continual Learning Node Classification
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— Unverified 0 Structure and Features Fusion with Evidential Graph Convolutional Neural Network for Node Classification Nov 16, 2021 Classification Graph Representation Learning
— Unverified 0 Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jun 21, 2023 Node Classification
— Unverified 0 Structure-Aware Label Smoothing for Graph Neural Networks Dec 1, 2021 Classification Node Classification
— Unverified 0 Structure fusion based on graph convolutional networks for semi-supervised classification Jul 2, 2019 Classification General Classification
— Unverified 0 Subgraph Attention for Node Classification and Hierarchical Graph Pooling Sep 25, 2019 Classification Graph Classification
— Unverified 0 Superiority of GNN over NN in generalizing bandlimited functions Jun 13, 2022 Node Classification
— Unverified 0 Supervised Attention Using Homophily in Graph Neural Networks Jul 11, 2023 Graph Attention Node Classification
— Unverified 0 Supervised Contrastive Learning with Structure Inference for Graph Classification Mar 15, 2022 Classification Contrastive Learning
— Unverified 0 Supervised Q-walk for Learning Vector Representation of Nodes in Networks Oct 3, 2017 Classification General Classification
— Unverified 0 Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks Oct 20, 2021 Node Classification Representation Learning
— Unverified 0 Symplectic Structure-Aware Hamiltonian (Graph) Embeddings Sep 9, 2023 Node Classification Riemannian optimization
— Unverified 0 SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation Jan 7, 2024 Graph Learning Interpretable Machine Learning
— Unverified 0 Synthetic Graph Generation to Benchmark Graph Learning Apr 4, 2022 Graph Generation Graph Learning
— Unverified 0 Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Jun 10, 2022 Node Classification
— Unverified 0 Deeper-GXX: Deepening Arbitrary GNNs Oct 26, 2021 Contrastive Learning Link Prediction
— Unverified 0 Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Oct 5, 2022 Classification Node Classification
— Unverified 0 Teleport Graph Convolutional Networks Jan 1, 2021 Node Classification
— Unverified 0 Topology-aware Tensor Decomposition for Meta-graph Learning Jan 4, 2021 Graph Learning Knowledge Graphs
— Unverified 0 Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study Nov 29, 2022 Classification Document Classification
— Unverified 0 TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding Aug 7, 2022 Link Prediction Node Classification
— Unverified 0 The Linearization of Belief Propagation on Pairwise Markov Networks Feb 17, 2015 Node Classification
— Unverified 0 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs May 12, 2021 BIG-bench Machine Learning Node Classification
— Unverified 0 There is more to graphs than meets the eye: Learning universal features with self-supervision May 31, 2023 Node Classification Representation Learning
— Unverified 0 TiGer: Self-Supervised Purification for Time-evolving Graphs Mar 10, 2025 Node Classification
— Unverified 0 Time-Aware Neighbor Sampling for Temporal Graph Networks Dec 18, 2021 Node Classification
— Unverified 0 TNE: A Latent Model for Representation Learning on Networks Oct 16, 2018 Community Detection Link Prediction
— Unverified 0 Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs May 22, 2023 Data Augmentation Graph Representation Learning
— Unverified 0 Topic-aware latent models for representation learning on networks Nov 10, 2021 Community Detection Link Prediction
— Unverified 0 Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation Oct 14, 2023 Graph Representation Learning Node Classification
— Unverified 0 Towards Federated Graph Learning in One-shot Communication Nov 18, 2024 Federated Learning Graph Learning
— Unverified 0 Towards Label Position Bias in Graph Neural Networks May 25, 2023 Node Classification Position
— Unverified 0 Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification Jun 24, 2024 Graph Neural Network Network Pruning
— Unverified 0 Towards Powerful Graph Neural Networks: Diversity Matters Jan 1, 2021 Diversity Graph Representation Learning
— Unverified 0 Towards Robust Graph Neural Networks against Label Noise Jan 1, 2021 Attribute Learning with noisy labels
— Unverified 0 Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Apr 14, 2025 Fairness Graph Learning
— Unverified 0 Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sep 6, 2023 Node Classification Self-Supervised Learning
— Unverified 0 Toward the Analysis of Graph Neural Networks Jan 1, 2022 Node Classification
— Unverified 0 TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Oct 3, 2022 Graph Neural Network Informativeness
— Unverified 0 t-PINE: Tensor-based Predictable and Interpretable Node Embeddings May 3, 2018 General Classification Link Prediction
— Unverified 0 Transfer Active Learning For Graph Neural Networks Sep 25, 2019 Active Learning Node Classification
— Unverified 0 Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification May 26, 2024 Classification Node Classification
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