-Monday 15:25-17:05
-Thursday 15:25-17:05
Apr. 7(Mon) Hafizh, "GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts (NeurIPS 2024)", https://drive.google.com/file/d/18CVyi7L9VoLnNFebil0daAGZUGViEDfi/view?usp=sharing
Apr.10(Thu) Kikuchi, "Inductive Temporal Graph Generation Capturing Dynamic Motif Transition Patterns", https://drive.google.com/file/d/14DTtJd5GcwSl7vUDtSLSwrCMn1SisIro/view?usp=sharing
Apr.14(Mon) Hosomi, "Graph Neural Prompting with Large Language Models", https://drive.google.com/file/d/1F-weX1L1A2hvKYWSkZBy-9or6q2Ni66t/view?usp=sharing
Apr.17(Thu) Kim, "Global Counterfactual Explainer for Graph Neural Network (WSDM 2023)", https://drive.google.com/file/d/19smfYrGahU482GcW6KFke16gCiRndkgp/view?usp=sharing
Apr.17(Thu) Ho, "Research Progress", https://drive.google.com/file/d/1C5Omr6pgscVu9OVzyEQsR8TWIu3CXPIh/view?usp=sharing
Apr.21(Mon), Kaneko, "Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting", https://drive.google.com/file/d/1Oti7W30c1Avbph3FV1vCZPpLmsOj8T1t/view?usp=sharing
Apr.21(Mon), Nakano, "Distill n' Explain: explaining graph neural networks using simple surrogates", https://drive.google.com/file/d/1AktmPaRpkLy-VWtAICk9kPW7_KCf4ygS/view?usp=sharing
Apr.24(Thu), Li, "Attribute-Missing Graph Clustering Network (AAAI 2024)", https://drive.google.com/file/d/1IWA2E3x7Tks5qcjrKyvbWM3WrpEEfUxt/view?usp=sharing
Apr.24(Thu), Kubota, "Data Augmentation for Graph Neural Networks (AAAI 2021)", https://drive.google.com/file/d/14D8Hg6DEOP8sUMHEg64XROnXHWA-QWT5/view?usp=sharing
Apr.28(Mon), Watanabe, "Progress Report: Learning Network Analysis with Python", https://drive.google.com/file/d/1sGTSOZzeIUN3-enLSNUSY-_-DZ51BXKM/view?usp=sharing
Apr.28(Mon), Araki, "Outline of GNN and especially embedding", https://drive.google.com/file/d/1ov-mYlBdBF4fx37Tg4uEmqotWmkwUjA1/view?usp=sharing
May 1(Thu), Hafizh, "Large-scale Representation Learning on Graphs via Bootstrapping (ICML 2022)", https://drive.google.com/file/d/1-Il-82-Nc8l0HHcWK8ehYuGWOwLwMtRn/view?usp=sharing
May 8(Thu), Kikuchi, "Do We Really Need Complicated Architectures for Temporal Networks? (ICLR 2023)", https://drive.google.com/file/d/1Qjo7rExra2WGX-NqEgEjImNKNS8JOnZ8/view?usp=sharing
May 12(Mon), Hosomi, "Research Progress", https://drive.google.com/file/d/1dXLcRap4FLjiyk_BzkZrBACL7E5cOuE-/view?usp=sharing
May 15(Thu), Ho, "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion (ICLR 2023)", https://drive.google.com/file/d/1BCZoXYtyAiVz5l--mAyCt8jvnH4WtDwz/view?usp=sharing
May 19(Mon), Nakano, "Factorized Explainer for Graph Neural Networks (AAAI 2024)", https://drive.google.com/file/d/1Rmd7SDr91evaT5weRrs2IrLJi-q9lgTH/view?usp=sharing
May 19(Mon), Kaneko, "Community-Aware Transformer for Autism Prediction in fMRI Connectome (MICCAI 2023)", https://drive.google.com/file/d/10STXZSmKFKoDaKK3QEj99UKHgOYi8ObW/view?usp=sharing
May 22(Thu), Kubota, "Heterogeneous Graph Structure Learning for Graph Neural Networks (AAAI 2021)", https://drive.google.com/file/d/1yNjgPTY17zE9WqbXal48p2p8_kX226M4/view?usp=sharing
May 22(Thu), Li, "Improving Distinguishability of Class for Graph Neural Networks (AAAI 2024)", https://drive.google.com/file/d/1pAI3f5fweyscXZCPMJp646oCbGwAq0FR/view?usp=sharing
May 26(Mon), Araki, "Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs (SIGKDD Explorations 2024)", https://drive.google.com/file/d/1_6G-1ZzRfjh_e1J_MZ5JKYSKth72Z7b8/view?usp=sharing
May 26(Mon), Watanabe, "A survey of dynamic graph neural networks (Front. Comput. Sci. 2025)", https://drive.google.com/file/d/15oz3_bzwtLeUdLzL0tyNzSLc19yBKfRJ/view?usp=sharing
May 26(Mon), Kim, "InduCE: Inductive Counterfactual Explanation for Graph Neural Network (TMLR 2024)", https://drive.google.com/file/d/142mpmkTW8jOzpQ736Bt9F1y8z62SfdH0/view?usp=sharing
June 4(Wed), Rossi, "Characterizing Functional Connectivity Subnetwork Contributions in Narrative Classification with Shapley Values", https://drive.google.com/file/d/1eFTu9Q_dfU2JKtQtyZKlC7m4loBQn5QA/view?usp=sharing