Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing

no code implementations • 6 Sep 2023 • Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You

In recent years, graph neural networks (GNN) have achieved significant developments in a variety of graph analytical tasks.

Node Classification Self-Supervised Learning

Semantic-visual Guided Transformer for Few-shot Class-incremental Learning

no code implementations • 27 Mar 2023 • Wenhao Qiu, Sichao Fu, Jingyi Zhang, Chengxiang Lei, Qinmu Peng

And then, a text encoder is introduced to automatically generate the corresponding semantic (text) labels for each image from the base classes.

Few-Shot Class-Incremental Learning Incremental Learning +1

Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features

no code implementations • 16 Feb 2023 • Chengxiang Lei, Sichao Fu, Yuetian Wang, Wenhao Qiu, Yachen Hu, Qinmu Peng, Xinge You

Some recent methods have been proposed to reconstruct the missing node features by the information propagation among nodes with known and unknown attributes.

Pseudo Label