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conftrace_

node classification

597 papers

Papers

Similarity-Navigated Conformal Prediction for Graph Neural Networks NeurIPS 2024 Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting AAAI 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NeurIPS 2024 STAGE: Simplified Text-Attributed Graph Embeddings using Pre-trained LLMs ACL 2024 Structural Entropy Based Graph Structure Learning for Node Classification AAAI 2024 Structural Fairness-aware Active Learning for Graph Neural Networks ICLR 2024 TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NeurIPS 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NeurIPS 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NeurIPS 2024 T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking AAAI 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 Training Graph Transformers via Curriculum-Enhanced Attention Distillation ICLR 2024 Uncertainty for Active Learning on Graphs ICML 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NeurIPS 2024 Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles NeurIPS 2024 UniGAD: Unifying Multi-level Graph Anomaly Detection NeurIPS 2024 Unsupervised Deep Graph Structure and Embedding Learning IJCAI 2024 WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024 What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NeurIPS 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks ICLR 2023 A critical look at the evaluation of GNNs under heterophily: Are we really making progress? ICLR 2023 A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023