IEEE

Cooperative Spectrum Sensing Using Weighted Graph Sparsity

Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...
The EMBO Journal

Immune cells adapt to confined environments in vivo to optimise nuclear plasticity for migration

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Cells navigating in complex 3D ...
IEEE

Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering

Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations ...
GitHub

Making Large Language Models Perform Better in Knowledge Graph Completion

Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs and enrich the KGs to become better web infrastructure, which can benefit a ...
GitHub

The official implementation for NeurIPS23 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations".

SGFormer is a graph encoder backbone that efficiently computes all-pair interactions with one-layer attentive propagation. SGFormer is built upon our previous works on scalable graph Transformers with ...