Cover Image

Neural-Symbolic Message Passing with Dynamic Pruning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chongzhi, Zheng, Junhao, Peng, Zhiping, Ma, Qianli
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Logical Message Passing Transformer for Complex Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
by: Geng, Chuqin, et al.
Published: (2026)

Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
by: Zhang, Chongzhi, et al.
Published: (2024)

Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)

Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines
by: Blakely, Christian D.
Published: (2025)

Graph Unitary Message Passing
by: Qiu, Haiquan, et al.
Published: (2024)

MLGIB: Multi-Label Graph Information Bottleneck for Expressive and Robust Message Passing
by: Wu, Chaokai, et al.
Published: (2026)

Transformers from Diffusion: A Unified Framework for Neural Message Passing
by: Wu, Qitian, et al.
Published: (2024)

How Particle System Theory Enhances Hypergraph Message Passing
by: Ma, Yixuan, et al.
Published: (2025)

Distributed Conformal Prediction via Message Passing
by: Wen, Haifeng, et al.
Published: (2025)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Link Prediction with Untrained Message Passing Layers
by: Qarkaxhija, Lisi, et al.
Published: (2024)

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
by: Zhou, Fan, et al.
Published: (2024)

Message Passing on the Edge: Towards Scalable and Expressive GNNs
by: Barceló, Pablo, et al.
Published: (2025)

Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
by: Lim, Brian Godwin, et al.
Published: (2025)

Could Chemical LLMs benefit from Message Passing
by: Xie, Jiaqing, et al.
Published: (2024)

Next Level Message-Passing with Hierarchical Support Graphs
by: Vonessen, Carlos, et al.
Published: (2024)

Balancing the Causal Effects in Class-Incremental Learning
by: Zheng, Junhao, et al.
Published: (2024)

Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
by: von Pichowski, Jan, et al.
Published: (2024)

'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning
by: Roy, Shubhajit, et al.
Published: (2026)

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
by: Choi, Jeongwhan, et al.
Published: (2024)

BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)

Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
by: Xu, Wei, et al.
Published: (2024)

Training-Free Message Passing for Learning on Hypergraphs
by: Tang, Bohan, et al.
Published: (2024)

ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
by: Wang, Yuelin, et al.
Published: (2022)

RelGNN: Composite Message Passing for Relational Deep Learning
by: Chen, Tianlang, et al.
Published: (2025)

Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
by: Lee, Minho, et al.
Published: (2024)

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
by: Wei, Yanbin, et al.
Published: (2025)

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)

Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
by: Choi, Jeongwhan, et al.
Published: (2025)

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
by: Ceni, Andrea, et al.
Published: (2025)

IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs
by: Park, Sejun, et al.
Published: (2024)

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations
by: Trifonov, Vladislav, et al.
Published: (2025)

How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step?
by: Cui, Guanyu, et al.
Published: (2024)

Exchangeability in Neural Network and its Application to Dynamic Pruning
by: Pu, et al.
Published: (2025)

Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
by: Varshney, Disha, et al.
Published: (2025)

Convergence of Some Convex Message Passing Algorithms to a Fixed Point
by: Voracek, Vaclav, et al.
Published: (2024)

The Neural Pruning Law Hypothesis
by: Barbulescu, Eugen, et al.
Published: (2025)