Reference sources

References 313–336 of 766

313. Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

     Kenta Oono; Taiji Suzuki
     2020
     Open original source ↗
     Referenced in (1)

     • Graph Depth, Smoothing, and the Loss of Distinctions

314. GraphCast: Learning skillful medium-range global weather forecasting

     Lam et al.
     2022-12-24

     Source location: Authors' primary preprint; deterministic medium-range forecasts and verification scope; linked Science version.

     Inspected on: 2026-10-22

     Open original source ↗
     Referenced in (1)

     • 天气预测从一条轨迹到概率分布：GenCast 的校准、联合风险与极端事件

315. GraphIt: A High-Performance Graph DSL

     Yunming Zhang; Mengjiao Yang; Riyadh Baghdadi; Shoaib Kamil; Julian Shun; Saman Amarasinghe
     2018
     Open original source ↗
     Referenced in (1)

     • Skew Is the Workload: Partitioning and Direction Choice in Graph Processing

316. GraphX: Unifying Data-Parallel and Graph-Parallel Analytics

     Reynold S. Xin; Daniel Crankshaw; Ankur Dave; Joseph E. Gonzalez; Michael J. Franklin; Ion Stoica
     2014
     Open original source ↗
     Referenced in (1)

     • Skew Is the Workload: Partitioning and Direction Choice in Graph Processing

317. GreenHadoop: Leveraging Green Energy in Data-Processing Frameworks

     Íñigo Goiri; Kien Le; Thu D. Nguyen; Jordi Guitart; Jordi Torres; Ricardo Bianchini
     2012
     Open original source ↗
     Referenced in (1)

     • When Computation Should Run: Carbon-Aware Scheduling under Deadlines and Forecast Error

318. GreenSlot: Scheduling Energy Consumption in Green Datacenters

     Inigo Goiri; Kien Le; Md E. Haque; Ryan Beauchea; Thu Nguyen; Jordi Guitart; Jordi Torres; Ricardo Bianchini
     2011
     Open original source ↗
     Referenced in (1)

     • When Computation Should Run: Carbon-Aware Scheduling under Deadlines and Forecast Error

319. Group Equivariant Convolutional Networks

     Taco Cohen; Max Welling
     2016
     Open original source ↗
     Referenced in (1)

     • Equivariance Is a Contract About Transformations

320. GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

     , , , , , , , ,
     2020-06-30

     Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Source scope: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。

     Inspected on: 2026-10-21

     Open original source ↗
     Referenced in (1)

     • 稀疏专家模型的真实成本：路由、容量约束与分布式通信

321. GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

     Dmitry Lepikhin; HyoukJoong Lee; Yuanzhong Xu; Dehao Chen; Orhan Firat; Yanping Huang; Maxim Krikun; Noam Shazeer; Zhifeng Chen
     2020
     Open original source ↗
     Referenced in (1)

     • Sparse Experts Under Capacity and Routing Constraints

322. GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run

     R. Abbott; T. D. Abbott; F. Acernese; K. Ackley; C. Adams; N. Adhikari; et al.
     2023-12-04

     Source location: Abstract; search and parameter-estimation methods

     Source scope: 目录候选概率与总群体推断不同；阈值条件随记录保存。

     Open original source ↗
     Referenced in (1)

     • 从被探测的并合到宇宙群体：引力波选择效应与层级推断

323. Harmless interpolation of noisy data in regression

     Vidya Muthukumar; Kailas Vodrahalli; Vignesh Subramanian; Anant Sahai
     2019
     Open original source ↗
     Referenced in (1)

     • When Fitting Noise Is Benign: Interpolation, Effective Rank, and the Geometry of Prediction

324. HeMIS: Hetero-Modal Image Segmentation

     Mohammad Havaei; Nicolas Guizard; Nicolas Chapados; Yoshua Bengio
     2016
     Open original source ↗
     Referenced in (1)

     • When a Sensor Is Missing: Multimodal Learning and Identifiability

325. Hierarchically porous polymer coatings for highly efficient passive daytime radiative cooling

     Jyotirmoy Mandal; Yanke Fu; Adam C. Overvig; Mingxin Jia; Kerui Sun; Norman N. Shi; Hua Zhou; Xianghui Xiao; Nanfang Yu; Yuan Yang
     2018
     Open original source ↗
     Referenced in (1)

     • Cooling beneath the Sky: Spectral Selectivity, Atmospheric Windows and System Boundaries

326. High electronic conductivity as the origin of lithium dendrite formation within solid electrolytes

     Fudong Han; Andrew S. Westover; Jie Yue; Xiulin Fan; Fei Wang; Miaofang Chi; et al.
     2019-01-14

     Source location: Abstract; operando neutron depth profiling

     Source scope: 特定固体电解质的电子泄漏证据，不宣称解释所有短路。

     Open original source ↗
     Referenced in (1)

     • 固态电池的界面现实：离子传输、电子泄漏与整电池能量

327. High Fidelity Neural Audio Compression

     Alexandre Défossez; Jade Copet; Gabriel Synnaeve; Yossi Adi
     2022
     Open original source ↗
     Referenced in (1)

     • What the Audio Tokens Carry: Neural Codecs, Generative Interfaces, and Latency Budgets

328. High probability generalization bounds for uniformly stable algorithms with nearly optimal rate

     Vitaly Feldman; Jan Vondrak
     2019
     Open original source ↗
     Referenced in (1)

     • What One Replaced Example Changes: Algorithmic Stability, Training Time, and Generalization

329. High-Fidelity Audio Compression with Improved RVQGAN

     Rithesh Kumar; Prem Seetharaman; Alejandro Luebs; Ishaan Kumar; Kundan Kumar
     2023
     Open original source ↗
     Referenced in (1)

     • What the Audio Tokens Carry: Neural Codecs, Generative Interfaces, and Latency Budgets

330. High-Fidelity Generative Image Compression

     Fabian Mentzer; George Toderici; Michael Tschannen; Eirikur Agustsson
     2020
     Open original source ↗
     Referenced in (1)

     • The Bits the Model Must Actually Send: Learned Image Compression and Entropy-Model Mismatch

331. High-performance bulk thermoelectrics with all-scale hierarchical architectures

     Kanishka Biswas; Jiaqing He; Ivan D. Blum; Chun-I Wu; Timothy P. Hogan; David N. Seidman; Vinayak P. Dravid; Mercouri G. Kanatzidis
     2012
     Open original source ↗
     Referenced in (1)

     • From a Large Figure of Merit to Useful Power: Thermoelectric Materials under Real Constraints

332. High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE

     Vahid et al.
     2023-03-06

     Source location: Cell-to-spot assignment, compositional constraints and dedicated mapping benchmarks.

     Inspected on: 2026-10-22

     Open original source ↗
     Referenced in (1)

     • 从细胞表达到组织生态：空间组学模型的可辨识性、邻域尺度与验证

333. High-resolution genomic history of early medieval Europe

     Leo Speidel; Marina Silva; Thomas Booth; Ben Raffield; Kyriaki Anastasiadou; Christopher Barrington; et al.
     2025-01-01

     Source location: Figs. 1–3; ancestry modelling

     Source scope: 古样本时空分布与祖源关系推断，存在代表性及参考群体限制。

     Open original source ↗
     Referenced in (1)

     • 古基因组如何重建迁徙：祖源模型、时间采样与历史解释的边界

334. High-Resolution Image Synthesis with Latent Diffusion Models

     , , , ,
     2021-12-20

     Source location: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Source scope: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。

     Inspected on: 2026-10-21

     Open original source ↗
     Referenced in (1)

     • 扩散生成的概率路径：噪声预测、采样误差与潜空间建模

335. Highly accurate protein structure prediction with AlphaFold

     Jumper et al.
     2021-07-15

     Source location: Nature 2021; network, Fig. 2 and limitations

     Source scope: AlphaFold2 links sequence/MSA and pair representations to 3D coordinates; predicted confidence is distinct from experimental confirmation.

     Inspected on: 2026-10-15

     Open original source ↗
     Referenced in (2)

     • 蛋白质结构预测的证据层级：AlphaFold、置信度与实验边界
     • 从复合物坐标到分子机制：AlphaFold 3 之后的结合证据与可辨识性

336. HiPPO: Recurrent Memory with Optimal Polynomial Projections

     Albert Gu; Tri Dao; Stefano Ermon; Atri Rudra; Christopher Re
     2020
     Open original source ↗
     Referenced in (1)

     • What a Recurrent State Can Remember: Decay, Selectivity, and Sequence Memory