ResearchTrend.AI
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis

PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis

Xinlei Huang
Zhiqi Ma
Dian Meng
Yanran Liu
Shiwei Ruan
Qingqiang Sun
Xubin Zheng
Ziyue Qiao
ArXivPDFHTML

Papers citing "PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis"

6 / 6 papers shown
Title
GCAL: Adapting Graph Models to Evolving Domain Shifts
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao
Qianyi Cai
Hao Dong
Jiawei Gu
Pengyang Wang
Meng Xiao
Xiao Luo
Hui Xiong
CLL
57
0
0
22 May 2025
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
Jiawei Gu
Ziyue Qiao
Xiao Luo
128
0
0
21 May 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
Jiawei Gu
Ziyue Qiao
Zechao Li
57
0
0
21 May 2025
DeepDPM: Deep Clustering With an Unknown Number of Clusters
DeepDPM: Deep Clustering With an Unknown Number of Clusters
M. Ronen
Shahaf E. Finder
Oren Freifeld
55
71
0
27 Mar 2022
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
306
19,991
0
30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
434
28,901
0
09 Sep 2016