-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
Jan. 5(Mon) Hafizh, "Memorization in Graph Neural Networks (NeurIPS 2025)", https://drive.google.com/file/d/17gk0qFUNRzUHZOXiqoK0GB0dcpCpesIU/view?usp=sharing
Jan. 9(Fri) Kikuchi, "CoDy: Counterfactual Explainers for Dynamic Graphs (ICML 2025)", https://drive.google.com/file/d/19iLLB5XJ_o41SGzXe3577VilNbPxK_Sp/view?usp=sharing
Jan. 9(Fri) Kubota, "UniGraph:Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD 2025)", https://drive.google.com/file/d/1bkCVgSUIgPFYMeVUWZHXH10e0MKS6_dJ/view?usp=sharing
Jan. 15(Thu) Hosomi, "Label Distribution-based Inference for Robust Graph Learning under Global Feature Missing", https://drive.google.com/file/d/1vIZjx99wj4g0XoNF3Vs8AqL8WwMOybCM/view?usp=sharing
Jan. 19(Mon) Ho, "An Efficient Graph Transformer Architecture Based on Graph Partitioning", https://drive.google.com/file/d/10JgHk4O0k3ptQtAxRdDOmqu4Wnmg-rKa/view?usp=sharing
Jan. 23(Fri) Kim, "Inductive Counterfactual Explanations for Graph Classification Using Reinforcement Learning", https://drive.google.com/file/d/1dtMWxwj4SgrOaU_ILzkbqEByXHrFzrum/view?usp=sharing
Jan. 23(Fri) Kaneko, "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting (AAAI 2025)", https://drive.google.com/file/d/1KYywfS-Mr6H8Ne-Ca_u6JH2e0O07M6gF/view?usp=sharing
Jan. 23(Fri) Nakano, "Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks (KDD 2025)", https://drive.google.com/file/d/1G41MKmeA0BOKJ3h058Gyf6hFsHsAzZH1/view?usp=sharing
Jan. 26(Mon) Li, "Heterogeneous Graph Neural Network on Semantic Tree (AAAI 2025)", https://drive.google.com/file/d/1K6ABjI2USWZ1siN6zjdrLx0EiPMpJ4db/view?usp=sharing
Jan. 26(Mon) Kubota, "Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment (ICML 2025)", https://drive.google.com/file/d/1z4hBGnFrDRIoVXH0GV3xi_Auq338csej/view?usp=sharing
Jan. 30(Fri) Araki, "Research Progress", https://drive.google.com/file/d/18KJLajfqViDbKM-XQTRgG7XmKqO2EwdF/view?usp=sharing
Jan. 30(Fri) Zhou, "Fair Graph Representation Learning via Sensitive Attribute Disentanglement (WWW 2024)", https://drive.google.com/file/d/1H6K6VCaBYv2M9WXpNW--ewyhenVTk9mZ/view?usp=sharing
Jan. 30(Fri) Murata, "report of AAAI 2026", https://drive.google.com/file/d/1T-GvQyRuznaRP8pVNkYkYEL6LSAQwSrI/view?usp=sharing