10 citations · 26 across the 10 of their papers we have counts for
5 papers · 1 filter
LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training
Lianze Shan, Jitao Zhao, Dongxiao He +3
Recent advances in generic large models, such as GPT and DeepSeek, have motivated the introduction of universality to graph pre-training, aiming to learn rich and generalizable kno…
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes
Jiaxu Cui, Bingyi Sun, Jiming Liu +1
Learning network dynamics from the empirical structure and spatio-temporal observation data is crucial to revealing the interaction mechanisms of complex networks in a wide range o…
Deep Bayesian Optimization on Attributed Graphs
Jiaxu Cui, Bo Yang, Xia Hu
Attributed graphs, which contain rich contextual features beyond just network structure, are ubiquitous and have been observed to benefit various network analytics applications. Gr…
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks
Chunxu Zhang, Jiaxu Cui, Bo Yang
In recent years, deep learning has achieved remarkable achievements in many fields, including computer vision, natural language processing, speech recognition and others. Adequate…
Deep Neural Architecture Search with Deep Graph Bayesian Optimization
Lizheng Ma, Jiaxu Cui, Bo Yang
Bayesian optimization (BO) is an effective method of finding the global optima of black-box functions. Recently BO has been applied to neural architecture search and shows better p…