GEM: Graph Embedding and Mining


ECML-PKDD 2020 Workshop



Due to the current uncertainty caused by COVID-19 the workshop will take place virtually. Authors will be able to present their work, attend other author/keynote presentations and interact with them using an appropriate virtual conferencing solution.

Program


14:10 - 14:15 Opening  video

14:15 - 15:00 Keynote: Conditional network embedding – trustworthy by design?  video

15:00 - 15:20 Spotlight Talk: Hop-Hop Relation-aware Graph Neural Networks  video

15:20 - 15:40 Spotlight Talk: GraphMDL Visualizer: Interactive Visualization of Graph Patterns  video

15:40 - 16:00 Spotlight Talk: Graph Neural Networks with Extreme Nodes Discrimination  video

16:00 - 16:20 Break

16:20 - 16:30 Short Presentation: An approach for generating random temporal semantic graphs with embedded patterns  video

16:30 - 16:40 Short Presentation: Social Fluidity in Children’s Face-to-Face Interaction Networks  video

16:40 - 16:50 Short Presentation: A comparative study of similarity-based and GNN-based link prediction approaches  video

16:50 - 17:00 Short Presentation: Trustworthiness-Aware Knowledge Graph Representation for Explainable Recommender Systems  video

17:00 - 17:20 Spotlight Talk: A Combination of Semantic Annotation and Graph Mining for Expert Finding in Scholarly Data  video

17:20 - 17:40 Spotlight Talk: Template-Based Graph Clustering  video

17:40 - 18:00 Closing