Wsdm-23 Tutorials: Natural And Artificial Dynamics In Gnns: A Tutorial

WSDM-23 Tutorials: Natural and Artificial Dynamics in GNNs: A Tutorial

Association for Computing Machinery (ACM)

WSDM-23 Tutorials: Next-generation Challenges of Responsible Data Integration

Association for Computing Machinery (ACM)

WSDM-23 Tutorials: Knowledge-Augmented Methods for Natural Language Processing

Association for Computing Machinery (ACM)

WSDM-23 Tutorials: Hate Speech: Detection, Mitigation and Beyond

Association for Computing Machinery (ACM)

WSDM-23 Workshops: Efficient Graph Learning for Anomaly Detection Systems

Association for Computing Machinery (ACM)

WSDM-23 Paper: Effective Graph Kernels for Evolving Functional Brain Networks

Association for Computing Machinery (ACM)

WSDM-23 Workshops: Generalizing Graph Neural Network across Graphs and Time

Association for Computing Machinery (ACM)

WSDM-23 Workshops: Challenges and Advances in Trustworthy Graph Learning

Association for Computing Machinery (ACM)

WSDM-23 Workshops: Global Counterfactual Explainer for Graph Neural Networks

Association for Computing Machinery (ACM)

WSDM-23 Workshops: Detecting and investigating coordinated inauthentic, harmful, grassroots,behavior

Association for Computing Machinery (ACM)

WSDM-23 Paper: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting

Association for Computing Machinery (ACM)

WSDM-23 Industry day: Recent Advances on Deep Learning based Knowledge Tracing

Association for Computing Machinery (ACM)

WSDM-23 Paper: Self-Supervised Group Graph Collaborative Filtering for Group Recommendation

Association for Computing Machinery (ACM)

KDD 2023 - Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications

Association for Computing Machinery (ACM)

WSDM-23 Paper: Self-Supervised Graph Structure Refinement for Graph Neural Networks

Association for Computing Machinery (ACM)