activity
20092023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 21.9k across the 280 of their papers we have counts for

collaborators
Showing 2017Show all

24 papers · 1 filter

cs.CV2017★ 37 cited

Stratified Transfer Learning for Cross-domain Activity Recognition

Jindong Wang, Yiqiang Chen, Lisha Hu +2

In activity recognition, it is often expensive and time-consuming to acquire sufficient activity labels. To solve this problem, transfer learning leverages the labeled samples from…

cs.CL2017★ 3 cited

Product Function Need Recognition via Semi-supervised Attention Network

Hu Xu, Sihong Xie, Lei Shu +1

Functionality is of utmost importance to customers when they purchase products. However, it is unclear to customers whether a product can really satisfy their needs on functions. F…

cs.CL2017

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis

Hu Xu, Sihong Xie, Lei Shu +1

Product compatibility and their functionality are of utmost importance to customers when they purchase products, and to sellers and manufacturers when they sell products. Due to th…

cs.SI2017★ 74 cited

Heterogeneous Information Network Embedding for Recommendation

Chuan Shi, Binbin Hu, Wayne Xin Zhao +1

Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in recomme…

cs.SI2017

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion

Jiawei Zhang, Limeng Cui, Philip S. Yu +1

Employees in companies can be divided into di erent communities, and those who frequently socialize with each other will be treated as close friends and are grouped in the same com…

cs.SI2017★ 1 cited

BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder

Jiawei Zhang, Congying Xia, Chenwei Zhang +3

Network embedding aims at projecting the network data into a low-dimensional feature space, where the nodes are represented as a unique feature vector and network structure can be…