Gradformer: Graph Transformer with Exponential Decay
Graph Transformers (GTs) have demonstrated their advantages across a wide range of
tasks. However, the self-attention mechanism in GTs overlooks the graph's inductive biases …
tasks. However, the self-attention mechanism in GTs overlooks the graph's inductive biases …
Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences
Bayesian network (BN) is a directed acyclic graph (DAG) representing the dependence
relations among random variables with conditional probability tables (CPTs). The efficiency …
relations among random variables with conditional probability tables (CPTs). The efficiency …
BrainGT: Multifunctional Brain Graph Transformer for Brain Disorder Diagnosis
Brain networks play a crucial role in the diagnosis of brain disorders by enabling the
identification of abnormal patterns and connections in brain activities. Previous studies …
identification of abnormal patterns and connections in brain activities. Previous studies …