README.md

Publications in ICDM 2020

Graph-based Semi-Supervised Learning

• Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
• Community Attention Network for Semi-supervised Node Classification
• LFGCN: Levitating over Graphs with Levy Flights

Graph Pooling

• The Necessity of Geometrical Representation for Deep Graph Analysis
• Graph Pooling with Representativeness

Self-Supervision

• Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning
• Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport

Adversarial Attacks

• Exploratory Adversarial Attacks on Graph Neural Networks
• Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
• Adversarial Label-Flipping Attack and Defense for Graph Neural Networks

Robustness

• Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure
• Provably Robust Node Classification via Low-Pass Message Passing
• Robust Meta Network Embedding against Adversarial Attacks

Temporal Structures

• FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
• Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
• STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation
• TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting
• AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
• Spatiotemporal Hypergraph Convolution Networks for Stock Movement Forecasting

Heterogeneous Networks

• A Heterogeneous Spatiotemporal Network for Lightning Prediction
• Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties
• Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection
• Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market
• Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks

Hierarchical Structures

• Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
• Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition
• Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks
• Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

Collaborative Filtering

• Dynamic Graph Collaborative Filtering
• Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning

Miscellaneous

• OWGL: Open-World Graph Learning
• Active Learning with Multi-granular Graph Auto-Encoder
• EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
• Multivariate Time-series Anomaly Detection via Graph Attention Network
• NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks
• Deep Semantic Network Representation