seminars2023-2Q

-Tuesday 13:45-15:25

-Friday 13:45-15:25

Jun. 13(Tue) Alsubaihi, "Multi-Round Influence Maximization: A Variable Neighborhood Search Approach", https://drive.google.com/file/d/1bWCCGQjKPdVYhN9t75LfuAJpqWWKXwtz/view?usp=sharing

Jun. 16(Fri) Jin, "Forecasting Channel Popularity & Income on Live streaming platforms by Temporal Multi-layer GNN", https://drive.google.com/file/d/1l3wNt2B4o7biC-Y9EiJmww0CH_FjQ1Jx/view?usp=sharing

Jun. 27(Tue) Eric, "Bayesian Optimization for Influence Maximization on Temporal Networks"

Jun. 30(Fri) Miyazaki, "Whatʼs Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders (KDD 2023)", https://drive.google.com/file/d/1Z7AfTrtnprcLd_Uog0Bfnf29YKKYZG6i/view?usp=sharing

Jun. 30(Fri) Hasegawa, "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN (KDD 2022)", https://drive.google.com/file/d/1pveSyM53LjRgXHLNvfnRMFXwHb6kaV0-/view?usp=sharing

Jul. 4(Tue) Yang, "Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN) (KDD 2023)", https://drive.google.com/file/d/1ipEbl9DpgJVshcMzn1tuKWmscBW2uPs0/view?usp=sharing

Jul. 7(Fri) Sakata, "Boosting Graph Contrastive Learning via Graph Contrastive Saliency (ICML 2023)", https://drive.google.com/file/d/1hKbk2tN9FI9R1DBfuwGXA5pMTWSzNSnl/view?usp=sharing

Jul. 11(Tue) Murasaki, "EXPRESSIVE: A Spatio Functional Embedding for Knowledge Graph Completion (ICLR 2023)", https://drive.google.com/file/d/13zRSfSHKhR-fALBoRj2QV4LoUPWVlWTI/view?usp=sharing

Jul. 11(Tue) Masunaga, "Semi-Supervised Classification with Graph Convolutional Networks (ICLR 2017)", https://drive.google.com/file/d/1K7loYXTDL1aI0h7rXpdx8VLo9nvSS3nH/view?usp=sharing

Jul. 18(Tue) Omar, "Higher-order Clustering and Pooling for Graph Neural Networks", https://drive.google.com/file/d/133HXp25UQV-JHipKv_peqymKViJ6kbbv/view?usp=sharing

Jul. 21(Fri) Jodelet, "Class-Incremental Learning using Diffusion Model for Distillation and Replay"