graph neural network

On provable privacy vulnerabilities of graph representations NeurIPS 2024 On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks NeurIPS 2024 On the hardness of learning under symmetries ICLR 2024 On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks NeurIPS 2024 On the Power of Small-size Graph Neural Networks for Linear Programming NeurIPS 2024 On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters ICLR 2024 On the Scalability of GNNs for Molecular Graphs NeurIPS 2024 On The Temporal Domain of Differential Equation Inspired Graph Neural Networks AISTATS 2024 On the Topology Awareness and Generalization Performance of Graph Neural Networks ECCV 2024 Open Ad Hoc Teamwork with Cooperative Game Theory ICML 2024 OpenGraph: Towards Open Graph Foundation Models EMNLP 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 Optimal and efficient text counterfactuals using Graph Neural Networks EMNLP 2024 Orbit-Equivariant Graph Neural Networks ICLR 2024 OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning ICML 2024 PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024 Partitioning Message Passing for Graph Fraud Detection ICLR 2024 PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024 Patch-Wise Graph Contrastive Learning for Image Translation AAAI 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer AAAI 2024 PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation NeurIPS 2024 Physics-Informed Graph Neural Networks for Water Distribution Systems AAAI 2024 PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ACL 2024