Papers
Goal-Driven Reasoning in DatalogMTL with Magic Sets
Shaoyu Wang, Kaiyue Zhao, Dongliang Wei et al.
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
Yuwei Miao, Yuzhi Guo, Hehuan Ma et al.
GODDS: The Global Online Deepfake Detection System
Marco Postiglione, Julian Baldwin, Natalia Denisenko et al.
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions
Ziqi Zhou, Weize Quan, Hailin Shi et al.
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
Xingdi Chen, Kai Yang
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
Ziyang Chen, Yiwen Ye, Yongsheng Pan et al.
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
Qiuyan He, Minghua Deng
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing
Yafei Li, Wei Chen, Jinxing Yan et al.
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training
Jia-Hong Huang, Yixian Shen, Hongyi Zhu et al.
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
Dahun Choi, Hyun Kim
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
Songwei Zhao, Yuan Jiang, Zijing Zhang et al.
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
Hao Jiang, Yang Jin, Zhicheng Sun et al.
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
Ao Liu, Wenshan Li, Tao Li et al.
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians
Xiaobao Wei, Peng Chen, Ming Lu et al.
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval
Bingjun Luo, Jinpeng Wang, Zewen Wang et al.
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
Shuyin Xia, Xinjun Ma, Zhiyuan Liu et al.
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
Bohang Sun, Yongjian Deng, Yuena Lin et al.
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Liang Yang, Zhenna Li, Jiaming Zhuo et al.
Graphic Design with Large Multimodal Model
Yutao Cheng, Zhao Zhang, Maoke Yang et al.
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
Xiaoyu Huang, Weidong Chen, Bo Hu et al.
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
Zihao Guo, Qingyun Sun, Haonan Yuan et al.
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Xinyu Yang, Yu Sun, Xinyang Chen et al.
Graph Structure Refinement with Energy-based Contrastive Learning
Xianlin Zeng, Yufeng Wang, Yuqi Sun et al.