论文笔记：ICDM'18 Signed Graph Convolutional Network - 知乎
论文笔记：ICDM'18 Signed Graph Convolutional Network 天下客 机器学习、联邦学习、图神经网络 收录于 · Robust GNN
[1808.06354] Signed Graph Convolutional Network - ar5iv
In this section, we present and discuss related work on signed networks (with a primary focus on signed network embedding) and on the recent development of graph convolutional networks.
Signed graph embedding via multi-order neighborhood feature …
Feb 1, 2025 · Signed graphs have been widely applied to model real-world complex networks with positive and negative links, and signed graph embedding has become a popular topic in the field of …
Signed Graph Convolutional Networks - New Jersey Institute of …
Due to the fact much of today's data can be represented as graphs, there has been a demand for generalizing neural network models for graph data. One recent direction that has shown fruitful …
Signed Graph Convolutional Network - 百度学术
摘要： Due to the fact much of today's data can be represented as graphs, there has been a demand for generalizing neural network models for graph data. One recent direction that has shown fruitful …
(PDF) Signed Graph Convolutional Network - ResearchGate
Aug 20, 2018 · Simultaneously, signed networks (or graphs having both positive and negative links) have become ubiquitous with the growing popularity of social media.
MDAGCN: Predicting Mutation-Drug Associations Through Signed Graph ...
We propose a novel graph convolutional network method, MDAGCN, to predict the mutation-drug associations with specific types (sensitive/resistant) in cancer. To enhance both the efficiency and …
RGCLN: Relational Graph Convolutional Ladder-Shaped Networks for Signed …
Jan 19, 2023 · Node embeddings are increasingly used in various analysis tasks of networks due to their excellent dimensional compression and feature representation capabilities. However, most …
Dshgnn: dual-channel signed hypergraph neural network for link sign ...
May 31, 2025 · Accurately predicting link signs in signed graphs remains challenging due to the need to capture detailed node-level interactions and dynamic higher-order group relationships. We propose a …
Multi-filter Based Signed Graph Convolutional Networks for …
Request PDF | On Jul 12, 2024, Ming Chen and others published Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks | Find, read and cite all the ...