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