2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
Sichao Fu, Qinmu Peng, Yang He +2
In recent years, graph neural networks (GNN) have achieved significant developments in a variety of graph analytical tasks. Nevertheless, GNN's superior performance will suffer fro…
cs.CV2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Wenhao Qiu, Sichao Fu, Jingyi Zhang +2
Few-shot class-incremental learning (FSCIL) has recently attracted extensive attention in various areas. Existing FSCIL methods highly depend on the robustness of the feature backb…
cs.LG2023★ 2 cited
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features
Chengxiang Lei, Sichao Fu, Yuetian Wang +4
Graph neural networks (GNNs) with missing node features have recently received increasing interest. Such missing node features seriously hurt the performance of the existing GNNs.…