-Monday 17:15-18:55
-Tuesday 17:15-18:55
Apr. 7(Tue) Kikuchi, "Revisiting Node Affinity Prediction in Temporal Graphs (ICLR 2026)", https://drive.google.com/file/d/1CfZPYG_jjPjMZFrdwFy_-9c7MRjfIbms/view?usp=sharing
Apr.13(Mon) Hafizh, "Graph Homophily Booster: Reimagining The Role of Discrete Feature in Heterophilic Graph Learning (ICLR 2026)", https://drive.google.com/file/d/1bueC3swMRUW_AtkQQFw7w6_87-zB1Leo/view?usp=sharing
Apr.14(Tue) Nakano, "LOGICXGNN: Grounded Logical Rules for Explaining Graph Neural Networks (ICLR 2026)", https://drive.google.com/file/d/1--nqtDiWRlRTWmzRRc_f4TeQ7KbEnpON/view?usp=sharing
Apr.14(Tue) Kaneko, "Efficient Traffic Prediction Through Spatio-Temporal Distillation (AAAI 2025)", https://drive.google.com/file/d/1Egwc0ECfGybh3L4l9y3vO8xKhDAjtX6W/view?usp=sharing
Apr.20(Mon) Kubota, "Exploring Correlations of Self-Supervised Tasks for Graphs (ICML 2024)", https://drive.google.com/file/d/104BoP7hQr8iUqnlLGdvWtdrCo1BepovM/view?usp=sharing
Apr.20(Mon) Li, "A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection (AAAI 2025)", https://drive.google.com/file/d/14ac_bPXJEU4HfETi-ckby9kKzdK41SCO/view?usp=sharing
Apr.21(Tue) Araki, "ContextGNN: Beyond Two-Tower Recommendation Systems (ICLR 2025)", https://drive.google.com/file/d/12o6PheB-v8Z-YgCOXDD8Er6SQPQSgwmR/view?usp=sharing
Apr.27(Mon) Iso "G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks (ICML 2025)", https://drive.google.com/file/d/13iwPEv7---crBJv59K-oEQS6SrfEr3as/view?usp=sharing
Apr.27(Mon) Bu, "GOFA: A Generative One-For-All Model For Joint Graph Language Modeling (ICLR 2025)", https://drive.google.com/file/d/1GQDZie96KuuJ4Q649vijfxhpPfFiuoLh/view?usp=sharing
May 11(Mon) Hafizh, "Graph-level Representation Learning with Joint-Embedding Predictive Architectures (TMLR)", https://drive.google.com/file/d/1PD8HHlhMgLnz7U_njnxMSsBYxmRiQeWk/view?usp=sharing
May 11(Mon) Kato, "GraRep: Learning Graph Representations with Global Structural Information (CIKM 2025)", https://drive.google.com/file/d/16GQ2VYLab41BsCLX71cAq5SBhyyWRWqb/view?usp=sharing
May 12(Tue) Kikuchi, "Graph2video: Leveraging Video Models to Model Dynamic Graph Evolution (AAAI 2026)", https://drive.google.com/file/d/16gzodi_dQVQlifi6locpN88Mxx7AI2yZ/view?usp=sharing
May 12(Tue) Tokito, "Modeling Relational Data with Graph Convolutional Networks (ESWC 2018)", https://drive.google.com/file/d/1k4k4pgXbVgfVVtmlE2GkVXdTTkmMqeh3/view?usp=sharing
May 18(Mon) Kaneko, "Complementary Multi-Teacher Knowledge Distillation for Lightweight Spatio-Temporal Forecasting", https://drive.google.com/file/d/15PjESMiMwZkhSBoa9yDW7sFnIajFMKhL/view?usp=sharing
May 18(Mon) Nakano, "Explainable Graph Representation Learningvia Graph Pattern AnalysisXudong (IJCAI 2025)", https://drive.google.com/file/d/1FYsDRizkeWMBmPk3IufQjheMy9l8avo1/view?usp=sharing
May 19(Tue) Li, "Semi-supervised Graph Anomaly Detection via Robust Homophily Learning (NeurIPS 2025)", https://drive.google.com/file/d/1A2onFQxoa2apah-qhGhwUfA4C4qifN-G/view?usp=sharing
May 19(Tue) Kubota, "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-Training Tasks (ICLR 2024)", https://drive.google.com/file/d/1g8iyiVf28IsF0OKt1QbTyCIsEndqLuAm/view?usp=sharing
May 25(Mon) Araki, "MARCH: Multi-Teacher Contrastive Hypergraph Distillation (WWW 2026)", https://drive.google.com/file/d/1Q-fxxIDJ5WORZNtcUUdWNe86BBEIBC10/view?usp=sharing
May 26(Tue) Iso, "Self-Discriminative Modeling for Anomalous Graph Detection (ICML 2025)", https://drive.google.com/file/d/1ELUzJfkPHUCw0Ll5h9OzbqomqV1jzPB4/view?usp=sharing
May 26(Tue) Bu, "Edge Prompt Tuning For Graph Neural Networks (ICLR 2025)", https://drive.google.com/file/d/1eR_wXNj2jCMBqSB1fiudeut-M3aNwCxd/view?usp=sharing
June 1(Mon) Kato, "LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (SIGIR 2020)", https://drive.google.com/file/d/1L3mXGQn2Llf66tzCmxqs5qXreHGSjTmR/view?usp=sharing
June 1(Mon) Tokito, "Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction (ICDE 2023)", https://drive.google.com/file/d/1F8Y1vlEdEy8cXisLMmwaaqHnBJyHSZJG/view?usp=sharing