-Monday 17:15-18:55
-Tuesday 17:15-18:55
Jun. 15(Mon) Hafizh, "View Space: Learning Representation across Arbitrary Graphs (ICML 2026)", https://drive.google.com/file/d/1DP63s_rF7xRMgADhi0k1rOdjZ7l8W9Mk/view?usp=sharing
Jun. 15(Mon) Zhou, "FairWire: Fair Graph Generation (NeurIPS 2024)", https://drive.google.com/file/d/1ok2Aaqn4rSmqUzq2dwyOjv_ph9-lJ-Dn/view?usp=sharing
Jun. 16(Tue) Kikuchi, "Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models (NeurIPS 2025)", https://drive.google.com/file/d/1W4880T6dycWn-5VTSPgWVgSI1nVkUdt_/view?usp=sharing
Jun. 22(Mon) Kaneko, "Multi-Teacher Knowledge Distillation for Lightweight Spatio-Temporal Forecasting", https://drive.google.com/file/d/1K1OoKtEG55e2Dzk1jSS6noafTM-JEL0Z/view?usp=sharing
Jun. 23(Tue) Li, "RHO-Semi: Incorporating Limited Anomaly Labels into One-Class, Homophily-Robust GAD", https://drive.google.com/file/d/12t2saG5uUEspB2REBVhOB8v91aFFSL7Q/view?usp=sharing
Jun. 29(Mon) Araki, "SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation" (IJCAI 2025), https://drive.google.com/file/d/1k7jd10fHgZy6EJR8V6IJYI5iAn6MNEYE/view?usp=sharing
Jun. 29(Mon) Nakano, "Global Interpretable Graph-Level Anomaly Detectionvia Multi-Motif Combination Modeling", https://drive.google.com/file/d/1-PgkiE-brYGn6pnyC4rpWBEAo2lJ-2Tl/view?usp=sharing
Jun. 30(Tue) Iso, "CARD: Towards Conditional Design of Multi-agent Topological Structures" (ICLR 2026), https://drive.google.com/file/d/1EAJKT5rkS_7pqTwe2xGLm_H9oFD7IWj3/view?usp=sharing
Jun. 30(Tue) Bu, "All in One: Multi-Task Prompting for Graph Neural Networks" (KDD 2023), https://drive.google.com/file/d/1-wfI0J5hlQAPD1TvfFH7eLRK5oKJ8mJo/view?usp=sharing
Jul. 6(Mon) Kato, "Knowledge Graph Self-Supervised Rationalization for Recommendation" (KDD 2023), https://drive.google.com/file/d/1GqUfmKDbFqGUUrt9I6gDXkELgnWMwHLv/view?usp=sharing
Jul. 6(Mon) Tokito, "Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks" (AAAI 2021), https://drive.google.com/file/d/1pZoZc3zVzfEBFLMa2ZHeouQIo_1g9z0N/view?usp=sharing
Jul. 7(Tue) Hafizh, "Explaining GNN Explanations w/ Edge Gradient" (KDD 2025), https://drive.google.com/file/d/1b9AjcR9oiMjwz9uBqNlv_HHHNmJXKBm7/view?usp=sharing
Jul. 13(Mon) Kikuchi, "Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts" (WWW 2026), https://drive.google.com/file/d/1H_qnGdditWNNe9_hHDecLy3VFl8zgQfB/view?usp=sharing
Jul. 14(Tue) Kaneko, "Multi-Teacher Knowledge Distillation for Lightweight Spatio-Temporal Forecasting", https://drive.google.com/file/d/1Np7-CtvgsvGl7AgIQEMaIeamSHjlCx4U/view?usp=sharing
Jul. 14(Tue) Nakano, "Interpretable Graph-Level Anomaly Detection", https://drive.google.com/file/d/1B6oOpv4-U_zs0QweAF4S9XsQFwRq-gAz/view?usp=sharing
Jul. 21(Tue) Li, "Incorporating Anomaly Labels into One-Class Graph Anomaly Detection while Maintaining Normal-Node Modeling", https://drive.google.com/file/d/1IO4Oj0RkT5142n-MKyLqa01_SWpB81r6/view?usp=sharing
Jul. 21(Tue) Kubota, "Adaptive Multi-Task Self-Supervised Pretraining for Graphs Based on Node Properties", https://drive.google.com/file/d/1CcqilYe0vFQXstbDaCxxiQrDi1QhtMUW/view?usp=sharing