← authors · overview

• FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
  2021 · 104 citations
• TrustLLM: Trustworthiness in Large Language Models
  2024 · 53 citations
• Adversarial Attack and Defense on Graph Data: A Survey
  2018 · 52 citations
• FedMood: Federated Learning on Mobile Health Data for Mood Detection
  2021 · 26 citations
• SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
  2021 · 25 citations
• Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
  2021 · 16 citations
• Federated Deep Multi-View Clustering with Global Self-Supervision
  2023 · 16 citations
• Contaminant Removal for Android Malware Detection Systems
  2017 · 5 citations
• Adversarial Directed Graph Embedding
  2020 · 3 citations
• Federated Multi-View Learning for Private Medical Data Integration and Analysis
  2021 · 3 citations
• Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
  2021 · 3 citations
• A Robust and Generalized Framework for Adversarial Graph Embedding
  2021 · 3 citations
• ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
  2025 · 1 citations
• TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
  2024 · 1 citations
• Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration
  2026