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• Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

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

  11919-11926

  2024-03-24

• 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

• Controllable Mind Visual Diffusion Model

  Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

  6935-6943

  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

• 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

• 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

• HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization

  Zhiyi Duan, Zixing Shi, Hongyu Yuan, Qi Wang

  14693-14701

  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

• ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation

  Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li

  14584-14592

  2023-06-26

• Multi-Adversarial Domain Adaptation

  Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

  2018-04-29

• 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

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

  Mingkai Lin, Xiaobin Hong, Wenzhong Li, Sanglu Lu

  12165-12173

  2025-04-11

• 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

• Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory

  Kyle Helfrich, Qiang Ye

  4115-4122

  2020-04-03

• 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

• Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks

  Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang

  4190-4197

  2020-04-03

• 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

• Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

  Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang

  12617-12625

  2024-03-24

• Orthogonal Graph Neural Networks

  Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

  3996-4004

  2022-06-28

• Asymmetric Learning for Spectral Graph Neural Networks

  Fangbing Liu, Qing Wang

  18798-18806

  2025-04-11

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

  Eran Rosenbluth, Martin Grohe

  25168-25175

  2026-03-14

• Boosting Graph Neural Networks via Adaptive Knowledge Distillation

  Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla

  7793-7801

  2023-06-26

• 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