The epidermal growth factor receptor (EGFR) belongs to the ERBB family of tyrosine kinase
receptors. EGFR signaling cascade is a key regulator in cell proliferation, differentiation …

With the widespread use of information technologies, information networks are becoming
increasingly popular to capture complex relationships across various disciplines, such as …

Network embedding assigns nodes in a network to low-dimensional representations and
effectively preserves the network structure. Recently, a significant amount of progresses …

Graphs, such as social networks, word co-occurrence networks, and communication
networks, occur naturally in various real-world applications. Analyzing them yields insight …

The formation of a real-world graph typically arises from the highly complex interaction of
many latent factors. The existing deep learning methods for graph-structured data neglect …

Prediction tasks over nodes and edges in networks require careful effort in engineering
features used by learning algorithms. Recent research in the broader field of representation …

Recent advancements in experimental high-throughput technologies have expanded the
availability and quantity of molecular data in biology. Given the importance of interactions in …

Problems involving multiple networks are prevalent in many scientific and other domains. In
particular, network alignment, or the task of identifying corresponding nodes in different …

Recent advances in network embedding have revolutionized the field of graph and network
mining. However,(pre-) training embeddings for very large-scale networks is computationally …

Extracellular vesicles (EVs) are membraneous vesicles released by a variety of cells into
their microenvironment. Recent studies have elucidated the role of EVs in intercellular …