Unverified50% confidenceFactExact time
Graph Neural Networks (GNNs) bind the topological structure of a graph together with the linear transformation of feature vectors.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedGNoME（Graph Networks for Materials Exploration）使用图神经网络（GNN）来预测晶体结构的稳定性，核心指标是材料在凸包上的分解能71% similarUnverifiedGNNs extend convolution, attention, and other operations to non-Euclidean spaces using a Message Passing mechanism to aggregate information between nodes.70% similarVerifiedConvolutional Neural Networks (CNNs), inspired by the structure of the visual cortex, extract local features by sliding convolutional kernels across images, with the parameter sharing mechanism significantly reducing computational load.68% similarVerified2015年Gatys等人提出神经风格迁移，通过卷积神经网络的Gram矩阵来匹配内容图与风格图的特征分布68% similarUnverifiedGNN在材料科学中将晶体结构映射为图数据结构，原子作为节点、化学键作为边，通过消息传递机制学习67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/933264API
curl https://kongchang.com/api/v1/knowledge/claims/933264MCP
get_claim(id=933264)