seminars2026-3Q

-Monday 17:15-18:55

-Tuesday 17:15-18:55

Oct.5(Mon) Hafizh, "LeJEPA:Provable and Scalable Self-Supervised Learning Without the Heuristics", https://drive.google.com/file/d/1mGblVfIvtYDws-xVyy-tWzY-RMFtj6Mb/view?usp=sharing

Oct.6(Tue) Kikuchi, "Neighborhood-aware Scalable Temporal Network Representation Learning" (LoG 2022), https://drive.google.com/file/d/16QokJiA17AJTScWc8POrIr7__RH9Alni/view?usp=sharing

Oct.13(Tue) Kaneko, "Lightweight Traffic Flow Forecasting via Multi-Teacher Knowledge Distillation", https://drive.google.com/file/d/1qerOrw_wid5Yw-243UrLEkwIlH9uxelP/view?usp=sharing

Oct. 13(Tue) Nakano, "Globally Interpretable Graph-Level Anomaly Detection with Prototype Learning", https://drive.google.com/file/d/1mb6IHq4HL3ukni0FwsuJRhURqX-7H6kK/view?usp=sharing

Oct.15(Thu) Li, "Graph Anomaly Detection with Incomplete Attributes and Limited Labels via Multi-View Remasking", https://drive.google.com/file/d/1_w2V6folnDxIQCVFzgDBaB3lU1ofeAid/view?usp=sharing

Oct. 15(Thu) Kubota, "Self-Supervised Graph Pretraining with Node Adaptive Task Weighting", https://drive.google.com/file/d/1UgbOTctKPYNnLhXf-0Ny9slHICyIyQGA/view?usp=sharing

Oct.19(Mon) Araki, "Cross-Representation Knowledge Transfer for Improved Sequential Recommendations" (KDD 2026), https://drive.google.com/file/d/1SKCI1PK3txIgu2RoXV5F6E7Q-AIxfH1K/view?usp=sharing

Oct.19(Mon) Iso, "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering" (NeurIPS 2024), https://drive.google.com/file/d/1fqV_KNi18CDeaLNC6IlNO8Y26D0PipuZ/view?usp=sharing

Oct.20(Tue) Bu, "AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs" (KDD 2025), https://drive.google.com/file/d/1X_UpWLVO8o22LqX1i0VGoO7zLzdWaUzP/view?usp=sharing

Oct.20(Tue) Peeradon, "G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks" (ICML 2025), https://drive.google.com/file/d/1ZYyuSgdtUO1sB6VhDJsfOmGiKr4iIJOC/view?usp=sharing

Oct.27(Tue) Kikuchi, Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs" (NeurIPS 2026), https://drive.google.com/file/d/1FhnqZm_3RGI7kzJmiNk-pthX0lropK-f/view?usp=sharing

Nov.2(Mon) Hafizh, "Return to Basics: Very Simple Graph Contrastive Learning via Noise Cancellation Principle" (NeurIPS 2026), https://drive.google.com/file/d/1kRdwiuB4t7Dx1ZDMaVM8SeB-8g3VqJnr/view?usp=sharing

Nov.9(Mon) Nakano, Kaneko

Nov.10(Tue) Kubota, Li

Nov.16(Mon) Araki, Iso

Nov.17(Tue) Bu, Peeradon

Nov.24(Tue) Kato, Tokito