node classification

Mixture of Weak and Strong Experts on Graphs ICLR 2024 Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs AISTATS 2024 Multiplex Graph Representation Learning via Bi-level Optimization IJCAI 2024 NetInfoF Framework: Measuring and Exploiting Network Usable Information ICLR 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 Non-convolutional graph neural networks. NeurIPS 2024 On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks NeurIPS 2024 OpenGraph: Towards Open Graph Foundation Models EMNLP 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024 Perception-Inspired Graph Convolution for Music Understanding Tasks IJCAI 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 PowerGraph: A power grid benchmark dataset for graph neural networks NeurIPS 2024 Predicting Housing Transaction with Common Covariance GNNs IJCAI 2024 Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers ACML 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NeurIPS 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum AAAI 2024 Revisiting Link Prediction: a data perspective ICLR 2024 Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024 SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network AAAI 2024 SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes AAAI 2024