85 citations · 166 across the 6 of their papers we have counts for
7 papers
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
Yue Yu, Xuan Kan, Hejie Cui +9
Functional magnetic resonance imaging (fMRI) has become one of the most common imaging modalities for brain function analysis. Recently, graph neural networks (GNN) have been adopt…
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
Minhao Jiang, Xiangchen Song, Jieyu Zhang +1
Taxonomies are fundamental to many real-world applications in various domains, serving as structural representations of knowledge. To deal with the increasing volume of new concept…
Learning Multi-granularity User Intent Unit for Session-based Recommendation
Jiayan Guo, Yaming Yang, Xiangchen Song +4
Session-based recommendation aims to predict a user's next action based on previous actions in the current session. The major challenge is to capture authentic and complete user pr…
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
Xiangchen Song, Jiaming Shen, Jieyu Zhang +1
Taxonomies have been widely used in various machine learning and text mining systems to organize knowledge and facilitate downstream tasks. One critical challenge is that, as data…
Taxonomy Completion via Triplet Matching Network
Jieyu Zhang, Xiangchen Song, Ying Zeng +4
Automatically constructing taxonomy finds many applications in e-commerce and web search. One critical challenge is as data and business scope grow in real applications, new concep…
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Di Jin, Xiangchen Song, Zhizhi Yu +4
Graph convolutional networks (GCNs), aiming to integrate high-order neighborhood information through stacked graph convolution layers, have demonstrated remarkable power in many ne…