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• IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations

  Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth, Janis Keck, Jürgen Jost

  17699-17706

  2025-04-11

• RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems

  Mengfan Li, Xuanhua Shi, Yang Deng

  31636-31644

  2026-03-14

• TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization

  Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han

  17626-17634

  2026-03-14

• Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification

  Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao

  768-776

  2021-05-18

• Cellular Network Traffic Scheduling With Deep Reinforcement Learning

  Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

  2018-04-25

• Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

  Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu

  11919-11926

  2024-03-24

• Block Modeling-Guided Graph Convolutional Neural Networks

  Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng

  4022-4029

  2022-06-28

• Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

  Zexin Hu, Kun Hu, Clinton Mo, Lei Pan, Zhiyong Wang

  12565-12573

  2024-03-24

• Primary Visual Cortex Inspired Point Cloud Analysis Framework

  Jisheng Dang, Delin Deng, Bimei Wang, Jingze Wu, Hui Zhang, Haijiang Li, Jingmei Jiao, Dengyue Pan, Mangang Xie, Jizhao Liu

  3506-3514

  2026-03-14

• How to Save your Annotation Cost for Panoptic Segmentation?

  Xuefeng Du, ChenHan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li

  1282-1290

  2021-05-18

• Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions

  Bhuvanashree Murugadoss, Christian Poelitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar

  19589-19597

  2025-04-11

• MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis

  Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao, Weibin Meng, Minggui He, Yan Yu, Hongxia Ma, Li Zhang, Daimeng Wei, Boxing Chen

  38952-38961

  2026-03-14

• Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction

  Zhenjiao Liu, Xue Xiao, Yao Chen, Jiao Xue, Shubin Ma, Liang Zhao

  23981-23989

  2026-03-14

• Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

  Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos

  9038-9046

  2023-06-26

• Multi-Adversarial Domain Adaptation

  Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

  2018-04-29

• Unified Graph Neural Networks Pre-training for Multi-domain Graphs

  Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

  12165-12173

  2025-04-11

• Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily

  Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang

  18960-18968

  2025-04-11

• Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory

  Kyle Helfrich, Qiang Ye

  4115-4122

  2020-04-03

• Interpreting Unfairness in Graph Neural Networks via Training Node Attribution

  Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

  7441-7449

  2023-06-26

• Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks

  Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan

  21690-21698

  2024-03-24

• Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

  Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim

  12013-12021

  2025-04-11

• Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

  Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan

  7583-7591

  2021-05-18

• Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit

  Eran Rosenbluth, Martin Grohe

  25168-25175

  2026-03-14

• Asymmetric Learning for Spectral Graph Neural Networks

  Fangbing Liu, Qing Wang

  18798-18806

  2025-04-11

• High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks

  Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang, Kelin Xia, Pietro Lio

  23039-23046

  2026-03-14