Papers
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.
GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection
Haozhan Shen, Tiancheng Zhao, Mingwei Zhu et al.
GSDD: Generative Space Dataset Distillation for Image Super-resolution
Haiyu Zhang, Shaolin Su, Yu Zhu et al.
GSENet:Global Semantic Enhancement Network for Lane Detection
Junhao Su, Zhenghan Chen, Chenghao He et al.
GSN: Generalisable Segmentation in Neural Radiance Field
Vinayak Gupta, Rahul Goel, Sirikonda Dhawal et al.
GSO-Net: Grid Surface Optimization via Learning Geometric Constraints
Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.
Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining
Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles
Chen Li, Yoshihiro Yamanishi