-Tuesday 13:30-15:10
-Friday 8:50-10:30
Apr. 12(Fri) Murasaki, "Hyperbolic Area like KGE", https://drive.google.com/file/d/1cLWF97S2LC-ehtfTrfiGHmc93VpD7NrY/view?usp=sharing
Apr. 16(Tue) Sakata, "Graph Completion Learning on Graphs with Features and Structure Missing", https://drive.google.com/file/d/1e-CYdGog84lqYwmC3LcayJcw4vPaKSBT/view?usp=sharing
Aor, 19(Fri) Suzuki, "Parameterized Hypercomplex Neural Network on Dynamic Graph", https://drive.google.com/file/d/1RrM6uJwbua8shtuAYxT2zxRsw4OJ291x/view?usp=sharing
Apr. 23(Tue) Omar, "Advancing A* Pathfinding through Cluster-Based Graph Convolution", https://drive.google.com/file/d/1uaqVSlcfoiRqXKAAgO9UIgyvdV_4yCNQ/view?usp=sharing
Apr. 30(Tue) Jodelet, "Balancing old and new classes for Class-Incremental Learning methods", (upload suppressed)
May 7(Tue) Hafizh, "Towards Robust Incremental Learning on Evolving Graph (ICML 2023)", https://drive.google.com/file/d/15OvIew_AEJsHTAX9zONzPPNXneolb8sq/view?usp=sharing
May 10(Fri) Hilsberg, "Noisy Graphs" https://drive.google.com/file/d/1Idhc7rpSELvjNUerGv3u36scWyJ1erG2/view?usp=sharing
May 14(Tue) Hosomi, "Partitioning Message Passing for Graph Fraud Detection (ICLR 2024)", https://drive.google.com/file/d/1RyDpIIFfum9Skrx6D_eFJZhnavOInzpv/view?usp=sharing
May 17(Fri) Ho, "Fraud Detection using Graph Neural Networks", https://drive.google.com/file/d/1tF-O7L_Wmq4HcsxK9I-3q6BqNjJAZsMY/view?usp=sharing
May 17(Fri) Kim, "Directed Acyclic Graph Neural Network (ICLR 2021)", https://drive.google.com/file/d/1N8TtuVL4dQGaIm2T5LPEvsdti1nMAnY7/view?usp=sharing
May 21(Tue) Zishuo, "Heterogeneous Graph Contrastive Learning for Recommendation (WSDM 2023)", https://drive.google.com/file/d/15DHHWD_4BK7EJGZolPYiz4BQyZUzS56B/view?usp=sharing
May 24(Fri) Aoki, "Understanding Convolutions in CNNs and GNNs", https://drive.google.com/file/d/1h4sjsoBt1swuLF9f7F7LgZBfOVdWD2Y2/view?usp=sharingÂ
May 24(Fri), "The Outline of Spectral Graph Convolution", https://drive.google.com/file/d/1-KswSRW_g1nsfl4DPdK3h7IR4Gjs-jw4/view?usp=sharing