node feature

A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI 2026 A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations ICML 2025 Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting ICLR 2025 Text Graph Neural Networks for Detecting AI-Generated Content COLING 2025 Deep Homomorphism Networks NeurIPS 2024 GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations ICLR 2024 Graph Distillation with Eigenbasis Matching ICML 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection AISTATS 2023 Featured Graph Coarsening with Similarity Guarantees ICML 2023 Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 SANGEA: Scalable and Attributed Network Generation ACML 2023 Serving Graph Compression for Graph Neural Networks ICLR 2023 Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s Geometry UAI 2023 Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks ICLR 2022 Not too little, not too much: a theoretical analysis of graph (over)smoothing NeurIPS 2022 Multi-Channel Pooling Graph Neural Networks IJCAI 2021 On Graph Neural Networks versus Graph-Augmented MLPs ICLR 2021 Rethinking Graph Transformers with Spectral Attention NeurIPS 2021 Subgraph Federated Learning with Missing Neighbor Generation NeurIPS 2021 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NeurIPS 2020 Graph Filtration Learning ICML 2020 Natural Graph Networks NeurIPS 2020 NENN: Incorporate Node and Edge Features in Graph Neural Networks ACML 2020