Results 251 to 260 of about 8,419,643 (305)
Shaping of Biohybrid Functional Living Materials
Advanced Functional Materials, EarlyView.This work demonstrates a strategy for shaping living mycelium into functional materials by directing its natural growth. Nanoparticles armor hyphae, micron‐scale particles entangle within the network, and printed hydrogel architectures steer expansion, creating defined geometries.
Sarah Schyck +3 more
wiley +1 more source
Adaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes
Advanced Functional Materials, EarlyView.The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...
Natascha Gray +3 more
wiley +1 more source
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Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview
IEEE/CAA Journal of Automatica Sinica, 2023Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests from both industrial and academic communities. With its rapid development, the cryptocurrency transaction network embedding (CTNE) has become a hot topic.
Yue Zhou, Xin-gao Luo, Mengchu Zhou
semanticscholar +1 more source
Reconciling Competing Sampling Strategies of Network Embedding
Neural Information Processing Systems, 2023Network embedding plays a significant role in a variety of applications. To capture the topology of the network, most of the existing network embedding algorithms follow a sampling training procedure, which maximizes the similarity (e.g., embedding ...
Yuchen Yan +6 more
semanticscholar +1 more source
Hyperbolic Temporal Network Embedding
IEEE Transactions on Knowledge and Data Engineering, 2023Temporal networks arise in various real-world scenarios, including social networks, user-item networks, traffic networks, financial transaction networks, etc.
Menglin Yang +3 more
semanticscholar +1 more source
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
IEEE Transactions on Knowledge and Data Engineering, 2022Heterogeneous information network (HIN) embedding aims at learning the low-dimensional representation of nodes while preserving structure and semantics in a HIN. Existing methods mainly focus on static networks, while a real HIN usually evolves over time
Xiao Wang +5 more
semanticscholar +1 more source
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
The Web Conference, 2022Learning low-dimensional representations for Heterogeneous Information Networks (HINs) has drawn increasing attention recently for its effectiveness in real-world applications.
C. Wang +6 more
semanticscholar +1 more source
RANEDDI: Relation-aware network embedding for drug-drug interaction prediction
Information Sciences, 2022Many embedding approaches of drugs have been proposed for the downstream task of drug-drug interaction (DDI) prediction in a DDI-derived network where drugs are considered nodes, and interactions are represented as edges.
Hui Yu, Wen Dong, Jianyu Shi
semanticscholar +1 more source
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions
Briefings Bioinform., 2021Accurate prediction of drug-target interactions (DTIs) through biological data can reduce the time and economic cost of drug development. The prediction method of DTIs based on a similarity network is attracting increasing attention.
Qi An, Liang Yu
semanticscholar +1 more source