66 citations · 85 across the 4 of their papers we have counts for
4 papers
Boltzmann machines as two-dimensional tensor networks
Sujie Li, Feng Pan, Pengfei Zhou +1
Restricted Boltzmann machines (RBM) and deep Boltzmann machines (DBM) are important models in machine learning, and recently found numerous applications in quantum many-body physic…
Dynamic Virtual Graph Significance Networks for Predicting Influenza
Jie Zhang, Pengfei Zhou, Hongyan Wu
Graph-structured data and their related algorithms have attracted significant attention in many fields, such as influenza prediction in public health. However, the variable influen…
Phase transitions and optimal algorithms for semi-supervised classifications on graphs: from belief propagation to graph convolution network
Pengfei Zhou, Tianyi Li, Pan Zhang
We perform theoretical and algorithmic studies for the problem of clustering and semi-supervised classification on graphs with both pairwise relational information and single-point…
Contracting Arbitrary Tensor Networks: General Approximate Algorithm and Applications in Graphical Models and Quantum Circuit Simulations
Feng Pan, Pengfei Zhou, Sujie Li +1
We present a general method for approximately contracting tensor networks with an arbitrary connectivity. This enables us to release the computational power of tensor networks to w…