Papers
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
Furong Jia, Kevin Wang, Yixiang Zheng et al.
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
Hao Liu, Xin Li, Mingming Gong et al.
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Hao Wang, Shengda Luo, Guosheng Hu et al.
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
Sascha Marton, Stefan Lüdtke, Christian Bartelt et al.
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
Hao Li, Mengqi Huang, Lei Zhang et al.
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
Hui Lin, Zhiheng Ma, Xiaopeng Hong et al.
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
Hui Tang, Xun Liang, Sensen Zhang
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
Shikang Pang, Chunjing Xiao, Wenxin Tai et al.
Graph-Aware Contrasting for Multivariate Time-Series Classification
Yucheng Wang, Yuecong Xu, Jianfei Yang et al.
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram et al.
Graph Bayesian Optimization for Multiplex Influence Maximization
Zirui Yuan, Minglai Shao, Zhiqian Chen
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract)
Wei Mao, Guihong Wan, Haim Schweitzer
Graph Context Transformation Learning for Progressive Correspondence Pruning
Junwen Guo, Guobao Xiao, Shiping Wang et al.
Graph Contrastive Invariant Learning from the Causal Perspective
Yanhu Mo, Xiao Wang, Shaohua Fan et al.
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
Jing Liu, Lele Sun, Weizhi Nie et al.
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
Tianrui Jia, Haoyang Li, Cheng Yang et al.
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.
Graph Neural Networks with Soft Association between Topology and Attribute
Yachao Yang, Yanfeng Sun, Shaofan Wang et al.
Graph Neural Prompting with Large Language Models
Yijun Tian, Huan Song, Zichen Wang et al.
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta, Nils Blach, Ales Kubicek et al.
Graph Reasoning Transformers for Knowledge-Aware Question Answering
Ruilin Zhao, Feng Zhao, Liang Hu et al.
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Zongjun Yang, Luofeng Liao, Christian Kroer
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments
Shadan Golestan, Omid Ardakanian, Pierre Boulanger
GridFormer: Point-Grid Transformer for Surface Reconstruction
Shengtao Li, Ge Gao, Yudong Liu et al.