node classification

Spiking Heterogeneous Graph Attention Networks AAAI 2026 Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning AAAI 2026 THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs AAAI 2026 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025 AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification AAAI 2025 A Selective Learning Method for Temporal Graph Continual Learning ICML 2025 Attribute-Missing Multi-view Graph Clustering CVPR 2025 Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing AAAI 2025 Bonsai: Gradient-free Graph Condensation for Node Classification ICLR 2025 Centrality-guided Pre-training for Graph ICLR 2025 Clean-Label Graph Backdoor Attack in the Node Classification Task AAAI 2025 Critical Node-aware Augmentation for Hypergraph Contrastive Learning IJCAI 2025 Curriculum-aware Training for Discriminating Molecular Property Prediction Models ICLR 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification AISTATS 2025 Decoupled Subgraph Federated Learning ICLR 2025 Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph ICML 2025 Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning IJCAI 2025 Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations CVPR 2025 Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning ICLR 2025 DUALFormer: Dual Graph Transformer ICLR 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025 Efficient Subsampling for GNN Downstream Tasks ACML 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 Enhancing Spectral GNNs: From Topology and Perturbation Perspectives ICML 2025 Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training AAAI 2025