conftrace_

random walk

161 papers

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Also known as

RW

Co-occurring keywords

graph neural network (3962) link prediction (624) node classification (482) representation learning (6206) graph embedding (349) knowledge graph (1837) node embedding (127) word embedding (1764) graph representation (360) spectral clustering (305)

Papers

NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation WACV 2026
DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design AAAI 2026
Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions AAAI 2026
How to Talk to Language Models: Serialization Strategies for Structured Entity Matching NAACL 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025
Heterophily-Aware Personalized PageRank for Node Classification IJCAI 2025
Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract) IJCAI 2025
Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking ACL 2025
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks AAAI 2024
Non-convolutional graph neural networks. NIPS 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies NIPS 2024
Random Walks for Temporal Action Segmentation With Timestamp Supervision WACV 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning AAAI 2024
Long-range Brain Graph Transformer NIPS 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024
Substructure Aware Graph Neural Networks AAAI 2023
Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023
Random Walk Conformer: Learning Graph Representation from Long and Short Range AAAI 2023
A principled framework for the design and analysis of token algorithms AISTATS 2023
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning AAAI 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NIPS 2023
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract) IJCAI 2023
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision ICCV 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes NIPS 2023