Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines
Fuente:
arXiv
Saved in:
| Main Author: | Blakely, Christian D. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
by: Blakely, Christian D.
Published: (2024)
by: Blakely, Christian D.
Published: (2024)
Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
by: Geng, Chuqin, et al.
Published: (2026)
by: Geng, Chuqin, et al.
Published: (2026)
Next Level Message-Passing with Hierarchical Support Graphs
by: Vonessen, Carlos, et al.
Published: (2024)
by: Vonessen, Carlos, et al.
Published: (2024)
Graph Unitary Message Passing
by: Qiu, Haiquan, et al.
Published: (2024)
by: Qiu, Haiquan, et al.
Published: (2024)
Fuzzy-Pattern Tsetlin Machine
by: Hnilov, Artem
Published: (2025)
by: Hnilov, Artem
Published: (2025)
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs
by: Granmo, Ole-Christoffer, et al.
Published: (2025)
by: Granmo, Ole-Christoffer, et al.
Published: (2025)
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
by: von Pichowski, Jan, et al.
Published: (2024)
by: von Pichowski, Jan, et al.
Published: (2024)
Neural-Symbolic Message Passing with Dynamic Pruning
by: Zhang, Chongzhi, et al.
Published: (2025)
by: Zhang, Chongzhi, et al.
Published: (2025)
Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
by: Lim, Brian Godwin, et al.
Published: (2025)
by: Lim, Brian Godwin, et al.
Published: (2025)
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)
by: Zhang, Wenxin, et al.
Published: (2025)
Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks
by: Glimsdal, Sondre, et al.
Published: (2024)
by: Glimsdal, Sondre, et al.
Published: (2024)
HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing
by: Cong, Guojing, et al.
Published: (2025)
by: Cong, Guojing, et al.
Published: (2025)
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
by: Ceni, Andrea, et al.
Published: (2025)
by: Ceni, Andrea, et al.
Published: (2025)
Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)
by: Zhuo, Wei, et al.
Published: (2024)
'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning
by: Roy, Shubhajit, et al.
Published: (2026)
by: Roy, Shubhajit, et al.
Published: (2026)
MLGIB: Multi-Label Graph Information Bottleneck for Expressive and Robust Message Passing
by: Wu, Chaokai, et al.
Published: (2026)
by: Wu, Chaokai, et al.
Published: (2026)
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
by: Lee, Minho, et al.
Published: (2024)
by: Lee, Minho, et al.
Published: (2024)
Uncertainty Quantification in the Tsetlin Machine
by: Helin, Runar, et al.
Published: (2025)
by: Helin, Runar, et al.
Published: (2025)
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
by: Choi, Jeongwhan, et al.
Published: (2025)
by: Choi, Jeongwhan, et al.
Published: (2025)
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs
by: Park, Sejun, et al.
Published: (2024)
by: Park, Sejun, et al.
Published: (2024)
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
by: Abeyrathna, K. Darshana, et al.
Published: (2024)
by: Abeyrathna, K. Darshana, et al.
Published: (2024)
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2024)
by: Halenka, Vojtech, et al.
Published: (2024)
Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
by: Varshney, Disha, et al.
Published: (2025)
by: Varshney, Disha, et al.
Published: (2025)
BeMap: Balanced Message Passing for Fair Graph Neural Network
by: Lin, Xiao, et al.
Published: (2023)
by: Lin, Xiao, et al.
Published: (2023)
A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
by: Cucumides, Tamara, et al.
Published: (2023)
by: Cucumides, Tamara, et al.
Published: (2023)
High resolution microprice estimates from limit orderbook data using hyperdimensional vector Tsetlin Machines
by: Blakely, Christian D.
Published: (2024)
by: Blakely, Christian D.
Published: (2024)
Exploring State Space and Reasoning by Elimination in Tsetlin Machines
by: Kadhim, Ahmed K., et al.
Published: (2024)
by: Kadhim, Ahmed K., 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)
by: Wang, Yuelin, et al.
Published: (2022)
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)
by: Lin, Nan, et al.
Published: (2023)
Training-Free Message Passing for Learning on Hypergraphs
by: Tang, Bohan, et al.
Published: (2024)
by: Tang, Bohan, et al.
Published: (2024)
Distributed Conformal Prediction via Message Passing
by: Wen, Haifeng, et al.
Published: (2025)
by: Wen, Haifeng, et al.
Published: (2025)
Link Prediction with Untrained Message Passing Layers
by: Qarkaxhija, Lisi, et al.
Published: (2024)
by: Qarkaxhija, Lisi, et al.
Published: (2024)
RelGNN: Composite Message Passing for Relational Deep Learning
by: Chen, Tianlang, et al.
Published: (2025)
by: Chen, Tianlang, et al.
Published: (2025)
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
by: Zeng, Bocheng, et al.
Published: (2024)
by: Zeng, Bocheng, et al.
Published: (2024)
Message Passing on the Edge: Towards Scalable and Expressive GNNs
by: Barceló, Pablo, et al.
Published: (2025)
by: Barceló, Pablo, et al.
Published: (2025)
Could Chemical LLMs benefit from Message Passing
by: Xie, Jiaqing, et al.
Published: (2024)
by: Xie, Jiaqing, et al.
Published: (2024)
AI-Based Clinical Rule Discovery for NMIBC Recurrence through Tsetlin Machines
by: Abbas, Saram, et al.
Published: (2025)
by: Abbas, Saram, et al.
Published: (2025)
Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Temporal Graph Pattern Machine
by: Ma, Yijun, et al.
Published: (2026)
by: Ma, Yijun, et al.
Published: (2026)
Similar Items
-
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
by: Blakely, Christian D.
Published: (2024) -
Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025) -
Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
by: Geng, Chuqin, et al.
Published: (2026) -
Next Level Message-Passing with Hierarchical Support Graphs
by: Vonessen, Carlos, et al.
Published: (2024) -
Graph Unitary Message Passing
by: Qiu, Haiquan, et al.
Published: (2024)