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Session 4A: Graph Neural Networks

First presentation

Start: 2021-11-03 13:00

End: 2021-11-03 14:10

Second presentation

Start: 2021-11-04 01:00

End: 2021-11-04 02:10

Papers in this session

rgfp2211 DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space

rgfp0977 Click-Through Rate Prediction with Multi-Modal Hypergraphs

rgfp2159 Tree Decomposed Graph Neural Network

rgfp1631 Graph Feature Gating Networks

rgfp0649 Signed Bipartite Graph Neural Networks

rgfp1747 LEReg: Empower Graph Neural Networks with Local Energy Regularization

rgfp0446 Inductive Matrix Completion Using Graph Autoencoder

rgfp1687 Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

rgfp1599 Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks

rgfp0958 Semi-supervised Multi-label Learning for Graph-structured Data

rgfp0609 AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

Papers highlighted in green indicate the paper is selected for a live spotlight presentation.
Papers highlighted in gold indicate the paper has been shortlisted for a best paper award (and will also be presented live).

This programme is indicative. Once registered, please refer to the session programme on Underline.