Neural Graduated Assignment for Maximum Common Edge Subgraphs
Fuente:
arXiv
Saved in:
| Main Authors: | Ying, Chaolong, Ruan, Yingqi, Chen, Xuemin, Wang, Yaomin, Yu, Tianshu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReMAP: Neural Reparameterization for Scalable MAP Inference in Arbitrary-Order Markov Random Fields
by: Wang, Yaomin, et al.
Published: (2024)
by: Wang, Yaomin, et al.
Published: (2024)
Graph Learning with Distributional Edge Layouts
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
Boosting Graph Pooling with Persistent Homology
by: Ying, Chaolong, et al.
Published: (2024)
by: Ying, Chaolong, et al.
Published: (2024)
Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers
by: Pan, Xuanhao, et al.
Published: (2024)
by: Pan, Xuanhao, et al.
Published: (2024)
Enhancing Graph Self-Supervised Learning with Graph Interplay
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
UM3: Unsupervised Map to Map Matching
by: Ying, Chaolong, et al.
Published: (2025)
by: Ying, Chaolong, et al.
Published: (2025)
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
by: Jian, Xiangru, et al.
Published: (2024)
by: Jian, Xiangru, et al.
Published: (2024)
Neural Graph Navigation for Intelligent Subgraph Matching
by: Ying, Yuchen, et al.
Published: (2025)
by: Ying, Yuchen, et al.
Published: (2025)
AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning
by: Wang, Yaomin, et al.
Published: (2026)
by: Wang, Yaomin, et al.
Published: (2026)
Union Subgraph Neural Networks
by: Xu, Jiaxing, et al.
Published: (2023)
by: Xu, Jiaxing, et al.
Published: (2023)
On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles
by: Chen, Ziang, et al.
Published: (2025)
by: Chen, Ziang, et al.
Published: (2025)
Secrets of GFlowNets' Learning Behavior: A Theoretical Study
by: Yu, Tianshu
Published: (2025)
by: Yu, Tianshu
Published: (2025)
Representation Learning for Frequent Subgraph Mining
by: Ying, Rex, et al.
Published: (2024)
by: Ying, Rex, et al.
Published: (2024)
A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows
by: Wang, Chenguang, et al.
Published: (2026)
by: Wang, Chenguang, et al.
Published: (2026)
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
by: Wang, Chenguang, et al.
Published: (2023)
by: Wang, Chenguang, et al.
Published: (2023)
Hierarchy-Aware Neural Subgraph Matching with Enhanced Similarity Measure
by: Liu, Zhouyang, et al.
Published: (2025)
by: Liu, Zhouyang, et al.
Published: (2025)
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
by: Lu, Shengyao, et al.
Published: (2024)
by: Lu, Shengyao, et al.
Published: (2024)
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
by: Wang, Wenshuo, et al.
Published: (2025)
by: Wang, Wenshuo, et al.
Published: (2025)
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
by: Alvarez-Gonzalez, Nurudin, et al.
Published: (2023)
by: Alvarez-Gonzalez, Nurudin, et al.
Published: (2023)
Learning to Decouple Complex Systems
by: Zhou, Zihan, et al.
Published: (2023)
by: Zhou, Zihan, et al.
Published: (2023)
SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics
by: Viswanath, Siddharth, et al.
Published: (2025)
by: Viswanath, Siddharth, et al.
Published: (2025)
Charting the Design Space of Neural Graph Representations for Subgraph Matching
by: Raj, Vaibhav, et al.
Published: (2025)
by: Raj, Vaibhav, et al.
Published: (2025)
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?
by: Nimase, Ojas, et al.
Published: (2026)
by: Nimase, Ojas, et al.
Published: (2026)
Towards Principled Task Grouping for Multi-Task Learning
by: Wang, Chenguang, et al.
Published: (2024)
by: Wang, Chenguang, et al.
Published: (2024)
Generating Physical Dynamics under Priors
by: Zhou, Zihan, et al.
Published: (2024)
by: Zhou, Zihan, et al.
Published: (2024)
FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing
by: Zhang, Boyang, et al.
Published: (2025)
by: Zhang, Boyang, et al.
Published: (2025)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes
by: Wang, Xuemin, et al.
Published: (2024)
by: Wang, Xuemin, et al.
Published: (2024)
Subgraph Networks Based Contrastive Learning
by: Wang, Jinhuan, et al.
Published: (2023)
by: Wang, Jinhuan, et al.
Published: (2023)
Self-supervised Subgraph Neural Network With Deep Reinforcement Walk Exploration
by: Huang, Jianming, et al.
Published: (2025)
by: Huang, Jianming, et al.
Published: (2025)
Fast AI Model Partition for Split Learning over Edge Networks
by: Li, Zuguang, et al.
Published: (2025)
by: Li, Zuguang, et al.
Published: (2025)
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
by: Liu, Ziyi, et al.
Published: (2024)
by: Liu, Ziyi, et al.
Published: (2024)
Motif-driven Subgraph Structure Learning for Graph Classification
by: Zhou, Zhiyao, et al.
Published: (2024)
by: Zhou, Zhiyao, et al.
Published: (2024)
Explicit and Implicit Graduated Optimization in Deep Neural Networks
by: Sato, Naoki, et al.
Published: (2024)
by: Sato, Naoki, et al.
Published: (2024)
Interference-Aware Edge Runtime Prediction with Conformal Matrix Completion
by: Huang, Tianshu, et al.
Published: (2025)
by: Huang, Tianshu, et al.
Published: (2025)
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations
by: Naik, Harish G., et al.
Published: (2024)
by: Naik, Harish G., et al.
Published: (2024)
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs
by: Wen, Weihuang, et al.
Published: (2023)
by: Wen, Weihuang, et al.
Published: (2023)
CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks
by: Zhu, Hongjun, et al.
Published: (2023)
by: Zhu, Hongjun, et al.
Published: (2023)
Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
by: Li, Kaiyang, et al.
Published: (2026)
by: Li, Kaiyang, et al.
Published: (2026)
Federated Cross-Client Subgraph Pattern Detection
by: Ceydeli, Selin, et al.
Published: (2026)
by: Ceydeli, Selin, et al.
Published: (2026)
Similar Items
-
ReMAP: Neural Reparameterization for Scalable MAP Inference in Arbitrary-Order Markov Random Fields
by: Wang, Yaomin, et al.
Published: (2024) -
Graph Learning with Distributional Edge Layouts
by: Zhao, Xinjian, et al.
Published: (2024) -
Boosting Graph Pooling with Persistent Homology
by: Ying, Chaolong, et al.
Published: (2024) -
Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers
by: Pan, Xuanhao, et al.
Published: (2024) -
Enhancing Graph Self-Supervised Learning with Graph Interplay
by: Zhao, Xinjian, et al.
Published: (2024)