node classification

Robustness Inspired Graph Backdoor Defense ICLR 2025 SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation IJCAI 2025 Self-Directed Node Classification on Graphs ALT 2025 Self-Explainable Graph Transformer for Link Sign Prediction AAAI 2025 Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025 Spreading Out-of-Distribution Detection on Graphs ICLR 2025 Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations IJCAI 2025 Subgraph Invariant Learning Towards Large-Scale Graph Node Classification AAAI 2025 Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder AAAI 2025 Text-Attributed Graph Learning with Coupled Augmentations COLING 2025 Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks EMNLP 2025 To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach EMNLP 2025 Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification AAAI 2025 Topology-Aware Gated Graph Neural Network for Social Bot Detection IJCNLP 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025 Training-Free Message Passing for Learning on Hypergraphs ICLR 2025 Training One-Dimensional Graph Neural Networks is NP-Hard ICLR 2025 Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025 Understanding GNNs and Homophily in Dynamic Node Classification AISTATS 2025 Universal Graph Self-Contrastive Learning IJCAI 2025 Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning AAAI 2025 Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees UAI 2025 When Do LLMs Help With Node Classification? A Comprehensive Analysis ICML 2025 When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline AAAI 2025 Active Learning Framework for Incomplete Networks UAI 2024