6 citations · 17 across the 8 of their papers we have counts for
8 papers
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Qincheng Lu, Jiaqi Zhu, Sitao Luan +1
The ability of Graph Neural Networks (GNNs) to capture long-range and global topology information is limited by the scope of conventional graph Laplacian, leading to unsatisfactory…
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
Sitao Luan, Chenqing Hua, Qincheng Lu +11
Homophily principle, \ie{} nodes with the same labels or similar attributes are more likely to be connected, has been commonly believed to be the main reason for the superiority of…
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
Qincheng Lu, Jiaqi Zhu, Sitao Luan +1
Graph Attention Network (GAT) is one of the most popular Graph Neural Network (GNN) architecture, which employs the attention mechanism to learn edge weights and has demonstrated p…
Success probability of the -regularized box-constrained Babai point and column permutation strategies
Xiao-Wen Chang, Yingzi XU
We consider the success probability of the -regularized box-constrained Babai point, which is a suboptimal solution to the -regularized box-constrained integer least squa…
Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion
Erqun Dong, Sheroze Sheriffdeen, Shichao Yang +6
Robust, high-precision global localization is fundamental to a wide range of outdoor robotics applications. Conventional fusion methods use low-accuracy pseudorange based GNSS meas…
Distributed Cooperative Localization in Wireless Sensor Networks without NLOS Identification
Siamak Yousefi, Xiao-Wen Chang, Benoit Champagne
In this paper, a 2-stage robust distributed algorithm is proposed for cooperative sensor network localization using time of arrival (TOA) data without identification of non-line of…