Co-occurring keywords · papers mentioning both
Papers
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
AAAI 2026
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
AAAI 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
ICLR 2025
SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain
IJCAI 2025
TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information
IJCAI 2025
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024
Long-range Brain Graph Transformer
NeurIPS 2024
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining
IJCAI 2024
Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks
MLHC 2023
Data-Driven Network Neuroscience: On Data Collection and Benchmark
NeurIPS 2023
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
NeurIPS 2023
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
NeurIPS 2023
Brain Network Transformer
NeurIPS 2022
Model inclusion lattice of coloured Gaussian graphical models for paired data
PGM 2022
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
NeurIPS 2021
Learning Interpretable Models for Coupled Networks Under Domain Constraints
AAAI 2021
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data
MIDL 2021
Brain networks enabling speech perception in everyday settings
Interspeech 2020
Inference of Dynamic Graph Changes for Functional Connectome
AISTATS 2020
Functional Connectivity Network Analysis with Discriminative Hub Detection for Brain Disease Identification
AAAI 2019
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
NeurIPS 2019
Mapping distinct timescales of functional interactions among brain networks
NeurIPS 2017
Representational Similarity Learning with Application to Brain Networks
ICML 2016
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification
CVPR 2014
Identification of Recurrent Patterns in the Activation of Brain Networks
NeurIPS 2012