node classification

Amortized Variational Deep Kernel Learning ICML 2024 Analysis of Corrected Graph Convolutions NeurIPS 2024 Article Classification with Graph Neural Networks and Multigraphs COLING 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 BLIS-Net: Classifying and Analyzing Signals on Graphs AISTATS 2024 Bures-Wasserstein Means of Graphs AISTATS 2024 Chasing Fairness in Graphs: A GNN Architecture Perspective AAAI 2024 Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NeurIPS 2024 Conformal Inductive Graph Neural Networks ICLR 2024 Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs AAAI 2024 Deceptive Fairness Attacks on Graphs via Meta Learning ICLR 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Dynamic Spiking Graph Neural Networks AAAI 2024 Effective Structural Encodings via Local Curvature Profiles ICLR 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NeurIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NeurIPS 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning IJCAI 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification NeurIPS 2024 Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective ICML 2024 Feature Transportation Improves Graph Neural Networks AAAI 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NeurIPS 2024 GLDL: Graph Label Distribution Learning AAAI 2024 Graph Coarsening with Message-Passing Guarantees NeurIPS 2024