-Tuesday 17:15-18:55
-Thursday 15:25-17:05
Jun. 12(Thu) Kikuchi, "Robustness Inspired Graph Backdoor Defense (ICLR 2025)", https://drive.google.com/file/d/1PGDfQ3Zr-zkAkBv-ghcqC_HfGgJLq4sZ/view?usp=sharing
Jun. 17(Tue) Hosomi, "GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks (KDD 2023)", https://drive.google.com/file/d/1o2Q2vpErn_5Oju3AygNUV9WzDlpNbMfH/view?usp=sharing
Jun. 19(Thu) Hafizh, "CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-free Class-Incremental Learning (CVPR 2025)", https://drive.google.com/file/d/1enym2f5zM0Qx4ldgXT31nxJKAwkzYnxy/view?usp=sharing
Jun. 19(Thu) Kim, "InduCE: Inductive Counterfactual Explanation for Graph Neural Network (TMLR 2024)", https://drive.google.com/file/d/1vg20QlQATg13KG0DmyMk4Dlp8ilNlCFc/view?usp=sharing
Jun. 24(Tue) Kaneko, "Interpretable Sparsificationof Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks (KDD 2023)", https://drive.google.com/file/d/1hJxruDu-s1jk-jEQ5s526onrE90RJOFM/view?usp=sharing
Jun. 26(Thu) Li, "Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification (KDD 2024)", https://drive.google.com/file/d/1YJREDiaa5xuhyhlgWuorMQpUMiFOeUp1/view?usp=sharing
Jun.26(Thu) Nakano, "Stratifed GNN Explanations through Suffcient Expansion (AAAI 2024)", https://drive.google.com/file/d/1QCHYL95MOEEqsTrmBiXeHWNLONZvcBMp/view?usp=sharing
Jun. 26(Thu) Kubota, "Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization (ICLR 2023)", https://drive.google.com/file/d/1oiHQJKxk01KfjbqxiJgu8KUlWGQJbYfC/view?usp=sharing
Jul. 1(Tue) Watanabe, "Dynamic GNN Performance Comparison", https://drive.google.com/file/d/1_aQQ7iBVIC7qL4WEQ-_5_66sZ7vH6wbe/view?usp=sharing
Jul. 1(Tue) Araki, "GraphGPT: Graph Instruction Tuning for Large Language Models (SIGIR 2024)", https://drive.google.com/file/d/1h5Knx5j-1EAJqeqfXLFiqqYhytrP18j4/view?usp=sharing
Jul. 3(Thu) Hafizh, "Gradient Projection Memory For Continual Learning (ICLR 2021)", https://drive.google.com/file/d/1lPIdaR9uz7O7RVruIsAyP2QJXhbBFd2Q/view?usp=sharing
Jul. 8(Tue) Kikuchi, "Temporal Graph Networks for Deep Learning on Dynamic Graphs (2020)", "TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics (ICLR 2025)", https://drive.google.com/file/d/1RmoQ4kYcOOk5rXeQ8EBygARGR9lm9-Yv/view?usp=sharing
Jul.10(Thu) Hosomi, "Class Distribution-based Inference for Robust Graph Learning under Global Feature Corruption", https://drive.google.com/file/d/13iFG6lHvN9FVAZoA4wfCD9rd3U5eezXJ/view?usp=sharing
Jul.15(Tue) Ho, "Applying block sparse attention to Graph Transformers", https://drive.google.com/file/d/1LT98Ys3FPbnT6rojqTrrar2-enzHFjXG/view?usp=sharing
Jul.15(Tue) Kim, "Inductive Counterfactual Explanations for Graph Classification Using Reinforcement Learning", https://drive.google.com/file/d/1IuCYeWzirkH-o81R-e0FRSobbYYz97Eh/view?usp=sharing
Jul.17(Thu) Kaneko, "BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck", https://drive.google.com/file/d/1mSTMNm7tCp30dlR7cidIhGPc7bDwTHGG/view?usp=sharing
Jul.17(Thu) Nakano, "Higher Order Structures For Graph Explanations (AAAI 2025)", https://drive.google.com/file/d/1dPJFMPzFuSGKWu7FmtEl_NAbRexmJXO2/view?usp=sharing
Jul.22(Tue) Li, "Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation (AAAI-25)", https://drive.google.com/file/d/18EhDigIhAuo_hbViVoHkzXey3-FSLRK9/view?usp=sharing
Jul.22(Tue) Kubota, "Self-Supervised Heterogeneous Graph Learning:a Homophily and Heterogeneity View (ICLR 2024)", https://drive.google.com/file/d/1V-532aA_a4v7ZaxwmhUthY9E_kpopZNI/view?usp=sharing
Jul.24(Thu) Ho, "Tokenphormer: Structure aware Multi token Graph Transformer for Node Classification (AAAI 2025)", https://drive.google.com/file/d/1s85bIDPqonPzSKjNYnYsOLsjuQ7uoaVQ/view?usp=sharing
Jul.24(Thu) Araki, "Representation Learning with Large Language Modelsfor Recommendation (ACM Web Conference 2024)", https://drive.google.com/file/d/1WhFQ_tQFWrNkfc3u7SiNEk2_HPm6MTFx/view?usp=sharing
Jul.24(Thu) Watanabe, "Temporal Graph Networks for Deep Learning on Dynamic Graphs", https://drive.google.com/file/d/1hfkvbuPE0vD8Bt6ViUDdsTbjeV7PK6WS/view?usp=sharing