This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available as an outside option to students on other programmes where ...

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...

Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking ...

Abstract: Multivariate time series anomaly detection (MTSAD) plays a critical role in the Internet of Things (IoT) by identifying malfunctions and attacks. Graph Neural Networks (GNNs) have been ...

Abstract: The digital economy is profoundly reshaping rural societies, leading to new patterns of interaction, organization, and development. Predicting rural social structures under this ...

Generating realistic sparse multi-category 3D voxel structures is difficult due to the cubic memory scaling of voxel structures and moreover the significant class imbalance caused by sparsity. We ...

MetaStruct::Graph - directed acyclic graph. Realized as a representational data structure (without mutation interfaces).

Association for Computing Machinery Selects 71 Professionals for Outstanding AchievementsNEW YORK, Jan. 21, 2026 /PRNewswire/ ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

在复杂网络分析中，我们通常只能获取网络的部分信息。因此，将观察到的复杂网络描述为一组可能的网络，每个网络具有一定概率，是合理的。为了在最小偏差的前提下确定这些概率分布，可以依赖香农熵的最大化原理 ...