activity
20182022
most citedModeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN

10 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.GN2022★ 2 cited

Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction

Hansheng Xue, Vaibhav Rajan, Yu Lin

Understanding genetic variation, e.g., through mutations, in organisms is crucial to unravel their effects on the environment and human health. A fundamental characterization can b…

q-bio.GN2021★ 1 cited

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning

Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang +2

Mixed communities of organisms are found in many environments (from the human gut to marine ecosystems) and can have profound impact on human health and the environment. Metagenomi…

cs.LG2021

Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks

Hansheng Xue, Luwei Yang, Vaibhav Rajan +3

A bipartite network is a graph structure where nodes are from two distinct domains and only inter-domain interactions exist as edges. A large number of network embedding methods ex…

cs.SI2020★ 10 cited

Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN

Hansheng Xue, Luwei Yang, Wen Jiang +3

Network embedding aims to learn low-dimensional representations of nodes while capturing structure information of networks. It has achieved great success on many tasks of network a…

cs.LG2018★ 2 cited

Deep Feature Learning of Multi-Network Topology for Node Classification

Hansheng Xue, Jiajie Peng, Xuequn Shang

Networks are ubiquitous structure that describes complex relationships between different entities in the real world. As a critical component of prediction task over nodes in networ…