Cover Image

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Rong, Qi, Muge, Meng, Chunlei, Yin, Shuo, Liu, Kun, Kang, Zhaolu, Fong, Simon
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search
by: Fu, Rong, et al.
Published: (2026)

ModalImmune: Immunity Driven Unlearning via Self Destructive Training
by: Fu, Rong, et al.
Published: (2026)

TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
by: Fu, Rong, et al.
Published: (2026)

CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras
by: Fu, Rong, et al.
Published: (2026)

Penny Wise, Pixel Foolish: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations
by: Qian, Jiachen, et al.
Published: (2026)

SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
by: Zhu, Yushan, et al.
Published: (2024)

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes
by: Fu, Rong, et al.
Published: (2026)

zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing
by: Fu, Rong, et al.
Published: (2026)

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
by: Fu, Rong, et al.
Published: (2026)

SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
by: Fu, Rong, et al.
Published: (2026)

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation
by: Fu, Rong, et al.
Published: (2026)

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection
by: Fu, Rong, et al.
Published: (2026)

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)

Syn-GRPO: Self-Evolving Data Synthesis for MLLM Perception Reasoning
by: Huang, Qihan, et al.
Published: (2025)

Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis
by: Fu, Rong, et al.
Published: (2026)

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
by: Liu, Yuxi, et al.
Published: (2024)

Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration
by: Meng, Chunlei, et al.
Published: (2026)

Multimodal Multi-Agent Empowered Legal Judgment Prediction
by: Kang, Zhaolu, et al.
Published: (2026)

SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment
by: Meng, Tao, et al.
Published: (2025)

ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models
by: Liu, Jiaxin, et al.
Published: (2025)

SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
by: Cretu, Miruna, et al.
Published: (2024)

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition
by: Fu, Fangze, et al.
Published: (2024)

Adaptive Graph Coarsening for Efficient GNN Training
by: Olshevskyi, Rostyslav, et al.
Published: (2025)

Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses
by: Wang, Yongyu
Published: (2025)

RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems
by: Li, Bingqian, et al.
Published: (2026)

LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
by: Fu, Rong, et al.
Published: (2026)

Pb4U-GNet: Resolution-Adaptive Garment Simulation via Propagation-before-Update Graph Network
by: Liu, Aoran, et al.
Published: (2026)

Unifying Adversarial Perturbation for Graph Neural Networks
by: Yang, Jinluan, et al.
Published: (2025)

SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
by: Kim, Minjun, et al.
Published: (2026)

PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion
by: Wang, Jian, et al.
Published: (2025)

RELIC-GNN: Efficient State Registers Identification with Graph Neural Network for Reverse Engineering
by: Pan, Weitao, et al.
Published: (2025)

GNN for Structural Displacement Prediction
by: Chang, Hung-Fu, et al.
Published: (2026)

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs
by: Xu, Hao, et al.
Published: (2020)

Self-supervised Adversarial Purification for Graph Neural Networks
by: Lee, Woohyun, et al.
Published: (2026)

LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
by: Lin, Xixun, et al.
Published: (2026)

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
by: Fu, Rong, et al.
Published: (2026)

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis
by: Menneer, Rupert, et al.
Published: (2025)