-Monday 15:25-17:05
-Friday 15:25-17:05
Dec. 5(Fri) Hafizh, "Nested Learning: The Illusion of Deep Learning Architectures (NeurIPS 2025 poster)", https://drive.google.com/file/d/1o9sHj9JcJ_VOmHj7aa4KtbILTfttCiPk/view?usp=sharing
Dec. 8(Mon) Kikuchi, "Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation (WWW 2025)", https://drive.google.com/file/d/1DtvBnKhXMWlloCjDUjajY_vCcP8YwJYG/view?usp=sharing
Dec, 12(Fri) Hosomi, "Label Distribution-based Inference for Robust Graph Learning under Global Feature Corruption", https://drive.google.com/file/d/1vv0TmUuUrIp3BM0L51k4lnxF4t1mq28B/view?usp=sharing
Dec. 15(Mon) Ho, "Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self Attention", https://drive.google.com/file/d/1B9Zh7foMtYIiHCll6RMuC6dgPQFx-mF3/view?usp=sharing
Dec. 19(Fri) Kim, "Inductive Counterfactual Explanations for Graph Classification Using Reinforcement Learning", https://drive.google.com/file/d/1BamNR9AYmp0EkSircMjwq_MVPEgic-9M/view?usp=sharing
Dec. 19(Fri) Nakano, "GNNXEMPLAR: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability (NeurIPS 2025)", https://drive.google.com/file/d/1ArQdXbN61BZ9N2m__PGt3HJ-9WiDvqqt/view?usp=sharing
Dec.22(Mon) Li, "Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity (CIKM 2025)", https://drive.google.com/file/d/1B-wS9BvQfIw8uJNLLnAMkns0AFffZT1b/view?usp=sharing
Dec. 22(Mon) Kaneko, "Evaluating Defensive Influence in Multi-Agent Systems Using Graph Attention Networks (DSAA 2025)", https://drive.google.com/file/d/1QVT_ji1bsfxlF8XNMKb6DcM_zLyq3IFq/view?usp=sharing
Dec. 26(Fri) Araki, "Research Progress", https://drive.google.com/file/d/1vFmkC75yXp0c-kXdfzr8VU5NqNbFWuTo/view?usp=sharing