Tour
Highlights
People
Vision
Research
Publications
Opportunities
Contact
Guodong Long
Latest
Beyond low-pass filtering: Graph convolutional networks with automatic filtering
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting
Deep Neighbor-aware Embedding for Node Clustering in Attributed Graphs
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
A comprehensive survey on graph neural networks
Going Deep: Graph Convolutional Ladder-shape Networks
Clustering Social Audiences in Business Information Networks
Learning Graph Embedding With Adversarial Training Methods
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Cost-sensitive parallel learning framework for insurance intelligence operation
Detecting Suicidal Ideation with Data Protection in Online Communities
Adversarially regularized graph autoencoder for graph embedding
Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data
Cross-domain deep learning approach for multiple financial market prediction
DiSAN: directional self-attention network for RNN/CNN-free language understanding
Supervised learning for suicidal ideation detection in online user content
Boosting for graph classification with universum
Graph ladder networks for network classification
MGAE: marginalized graph autoencoder for graph clustering
Task sensitive feature exploration and learning for multitask graph classification
Universal network representation for heterogeneous information networks
Co-clustering enterprise social networks
Finding the best not the most: regularized loss minimization subgraph selection for graph classification
Cite
×