Imagen de Portada

It's All Connected: Topology-Aware Structural Graph Encoding Improves Performance on Polymer Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Erdogan, H. Ibrahim, Raviswamy, Punith, Agrawal, Nikita, Köster, Yannik, Zechel, Stefan, Schubert, Ulrich S., Mayer, Ruben, Kuenneth, Christopher
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning I.2.6; J.2
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Explaining Temporal Graph Predictions With Shapley Values
por: Sussek, Lea-Marie, et al.
Publicado: (2026)

Graph Neural Network Based Action Ranking for Planning
por: Mangannavar, Rajesh, et al.
Publicado: (2024)

EXCODER: EXplainable Classification Of DiscretE time series Representations
por: Hahn, Yannik, et al.
Publicado: (2026)

Leveraging Natural Language Processing and Machine Learning for Evidence-Based Food Security Policy Decision-Making in Data-Scarce Making
por: Singh, Karan Kumar, et al.
Publicado: (2026)

SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling
por: Aharon, Eliya Naomi, et al.
Publicado: (2026)

Forget Attention: Importance-Aware Attention Is All You Need
por: Shin, Soohyeong, et al.
Publicado: (2026)

Drawing on Memory: Dual-Trace Encoding Improves Cross-Session Recall in LLM Agents
por: Stern, Benjamin, et al.
Publicado: (2026)

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
por: Li, Yifei, et al.
Publicado: (2025)

On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems
por: Soares, Jonathan A., et al.
Publicado: (2024)

One Router to Route Them All: Homogeneous Expert Routing for Heterogeneous Graph Transformers
por: Shakirov, Georgiy, et al.
Publicado: (2025)

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
por: Quaedvlieg, Lars C. P. M.
Publicado: (2025)

Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions
por: Schubert, Johan, et al.
Publicado: (2025)

Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
por: Zanardini, Damiano, et al.
Publicado: (2024)

Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
por: Xu, Hengxuan, et al.
Publicado: (2026)

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
por: Zhu, Jiajun, et al.
Publicado: (2025)

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
por: Wang, Yumeng, et al.
Publicado: (2025)

Discrete Latent Structure in Neural Networks
por: Niculae, Vlad, et al.
Publicado: (2023)

Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection
por: Soares, Jonathan A., et al.
Publicado: (2024)

APC-GNN++: An Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability for Diabetes Classification
por: Berkani, Khaled
Publicado: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
por: Khorasani, Sadegh, et al.
Publicado: (2025)

Entropy Aware Message Passing in Graph Neural Networks
por: Nazari, Philipp, et al.
Publicado: (2024)

Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
por: Bianchessi, Arthur S., et al.
Publicado: (2025)

Connectivity-Aware Representations for Constrained Motion Planning via Multi-Scale Contrastive Learning
por: Jeon, Suhyun, et al.
Publicado: (2026)

Explainable Graph Representation Learning via Graph Pattern Analysis
por: Wang, Xudong, et al.
Publicado: (2025)

Let Your Graph Do the Talking: Encoding Structured Data for LLMs
por: Perozzi, Bryan, et al.
Publicado: (2024)

Towards Interactively Improving ML Data Preparation Code via "Shadow Pipelines"
por: Grafberger, Stefan, et al.
Publicado: (2024)

Are LLM Uncertainty and Correctness Encoded by the Same Features? A Functional Dissociation via Sparse Autoencoders
por: Patel, Het, et al.
Publicado: (2026)

Layer-Aware Embedding Fusion for LLMs in Text Classifications
por: Gwak, Jiho, et al.
Publicado: (2025)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
por: Yousaf, Iqra
Publicado: (2024)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
por: Muraleedharan, Anujith, et al.
Publicado: (2025)

Not All Transitions Matter: Evidence from PPO
por: Basnet, Ajhesh
Publicado: (2026)

CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
por: Hong, Hong, et al.
Publicado: (2026)

Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
por: Arora, Rushiv
Publicado: (2025)

When Labels Have Structure: Improving Image Classification with Hierarchy-Aware Cross-Entropy
por: Chan, April, et al.
Publicado: (2026)

Multi-Agent Best Arm Identification in Stochastic Linear Bandits
por: Agrawal, Sanjana, et al.
Publicado: (2024)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
por: Gasparino, Mateus Valverde, et al.
Publicado: (2024)

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
por: Peng, Zhenghao, et al.
Publicado: (2024)

Autonomous generation of different courses of action in mechanized combat operations
por: Schubert, Johan, et al.
Publicado: (2025)

Weak Supervision for Real World Graphs
por: Nair, Pratheeksha, et al.
Publicado: (2025)

The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
por: Yıldırım, Alper
Publicado: (2026)