random walk

An Exponential Lower Bound for Spectral Density Estimation on Unweighted Graphs COLT 2026 Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions AAAI 2026 DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design AAAI 2026 Fully Decentralized Certified Unlearning CVPR 2026 NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation WACV 2026 On the Statistical Query Complexity of Learning Semiautomata: a Random Walk Approach COLT 2026 From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers ICML 2025 Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention ICLR 2025 Heterophily-Aware Personalized PageRank for Node Classification IJCAI 2025 High-Order Consistency-Guided User Identity Linkage with Large Language Model ACML 2025 How to Talk to Language Models: Serialization Strategies for Structured Entity Matching NAACL 2025 Learning Graph Node Embeddings by Smooth Pair Sampling AISTATS 2025 Learning Long Range Dependencies on Graphs via Random Walks ICLR 2025 Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking ACL 2025 Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract) IJCAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024 Convergence Guarantees for the DeepWalk Embedding on Block Models ICML 2024 Decoupled Contrastive Multi-View Clustering with High-Order Random Walks AAAI 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 General Graph Random Features ICLR 2024 In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies NeurIPS 2024 Learning From Simplicial Data Based on Random Walks and 1D Convolutions ICLR 2024 Long-range Brain Graph Transformer NeurIPS 2024 Non-convolutional graph neural networks. NeurIPS 2024