graph sampling

Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness AAAI 2026 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks AAAI 2025 Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks IJCAI 2025 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 Repelling Random Walks ICLR 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs NeurIPS 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023 Bayesian structure learning with generative flow networks UAI 2022 Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification CVPR 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract) AAAI 2022 Edge Sampling Using Local Network Information JMLR 2021 Efficient Sampling of Dependency Structure EMNLP 2021 Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries AAAI 2021 Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs AAAI 2021 Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021 Cakewalk Sampling AAAI 2020 GraphSAINT: Graph Sampling Based Inductive Learning Method ICLR 2020 Neighborhood Matching Network for Entity Alignment ACL 2020 Sampling Random Chordal Graphs by MCMC (Student Abstract) AAAI 2020 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019