:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Demirci, Ege, Bullo, Francesco, Swami, Ananthram, Singh, Ambuj
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.22317
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detection of adversarial intent in Human-AI teams using LLMs
by: Musaffar, Abed K., et al.
Published: (2026)

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
by: Levy, Daniel, et al.
Published: (2025)

Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
by: Jaffe, Sean, et al.
Published: (2024)

Fully Distributed Online Training of Graph Neural Networks in Networked Systems
by: Olshevskyi, Rostyslav, et al.
Published: (2024)

Geometric Flow Models over Neural Network Weights
by: Erdogan, Ege
Published: (2025)

SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)

Topology Identification and Inference over Graphs
by: Mateos, Gonzalo, et al.
Published: (2025)

Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks (Journal Version)
by: Zhao, Zhongyuan, et al.
Published: (2025)

Regret Bounds for Reinforcement Learning from Multi-Source Imperfect Preferences
by: Shi, Ming, et al.
Published: (2026)

Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
by: Sharma, Saurabh, et al.
Published: (2024)

Flow-Attentional Graph Neural Networks
by: Plettenberg, Pascal, et al.
Published: (2025)

PRIVEE: Privacy-Preserving Vertical Federated Learning Against Feature Inference Attacks
by: Madabushi, Sindhuja, et al.
Published: (2025)

Biased Backpressure Routing Using Link Features and Graph Neural Networks
by: Zhao, Zhongyuan, et al.
Published: (2024)

Symmetry-Aware Bayesian Flow Networks for Crystal Generation
by: Ruple, Laura, et al.
Published: (2025)

Expertise and confidence explain how social influence evolves along intellective tasks
by: Askarisichani, Omid, et al.
Published: (2020)

Graph Neural Diffusion Networks for Semi-supervised Learning
by: Ye, Wei, et al.
Published: (2022)

Learning Non-myopic Power Allocation in Constrained Scenarios
by: Chowdhury, Arindam, et al.
Published: (2024)

A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking
by: Zhao, Zhongyuan, et al.
Published: (2025)

Balancing Symmetry and Efficiency in Graph Flow Matching
by: Honoré, Benjamin, et al.
Published: (2026)

Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales
by: Centorrino, Veronica, et al.
Published: (2025)

Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks
by: Nguyen, Tri Minh, et al.
Published: (2024)

Robust and Explainable Divide-and-Conquer Learning for Intrusion Detection
by: Zhou, Yan, et al.
Published: (2026)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)

SFi-Former: Sparse Flow Induced Attention for Graph Transformer
by: Li, Zhonghao, et al.
Published: (2025)

DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network
by: Le, Tan, et al.
Published: (2025)

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
by: Gokhale, Anand, et al.
Published: (2026)

Normalized Space Alignment: A Versatile Metric for Representation Analysis
by: Ebadulla, Danish, et al.
Published: (2024)

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
by: Liang, Zhuding, et al.
Published: (2025)

ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
by: Rathod, Santanu Subhash, et al.
Published: (2025)

LogicGuard: Improving Embodied LLM agents through Temporal Logic based Critics
by: Gokhale, Anand, et al.
Published: (2025)

If generative AI is the answer, what is the question?
by: Tewari, Ambuj
Published: (2025)

Variational Bayesian Flow Network for Graph Generation
by: Xiong, Yida, et al.
Published: (2026)

Network Distance Based on Laplacian Flows on Graphs
by: Bao, Dianbin, et al.
Published: (2018)

Heterophily-Aware Graph Attention Network
by: Wang, Junfu, et al.
Published: (2023)

Learning Discrete Diffusion of Graphs via Free-Energy Gradient Flows
by: Rancati, Dario, et al.
Published: (2026)

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2025)

Latency-Aware Contextual Bandit: Application to Cryo-EM Data Collection
by: Wei, Lai, et al.
Published: (2024)

Plug-and-Play Transformer Modules for Test-Time Adaptation
by: Chang, Xiangyu, et al.
Published: (2024)

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation
by: Wang, Yingxu, et al.
Published: (2026)

FlowX: Towards Explainable Graph Neural Networks via Message Flows
by: Gui, Shurui, et al.
Published: (2022)