Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 19th EAI Internation Honghao Gao,Xinheng Wang,Nikolaos Voros Conference

Antagonism

商業(yè)上

NPGraph: An Efficient Graph Computing Model in?NUMA-Based Persistent Memory Systems of main memory (DRAM). Fortunately, a promising solution has emerged in the form of hybrid memory systems (HMS) which combine DRAM and persistent memory (PMEM) to enable data-centric graph computing. However, directly transitioning existing DRAM-based models to HMS can lead to inefficiency issues,

保守

tHR-Net: A Hybrid Reasoning Framework for?Temporal Knowledge Graphre events is to understand historical trends and extract the information most likely to affect the future, i.e., the TKG reasoning task is both influenced by the trends of time-evolving graphs and directly driven by the facts relevant to a specific query. Existing methods mostly build models separat

malign

Vaginismus

cardiovascular

Robustness-Enhanced Assertion Generation Method Based on?Code Mutation and?Attack Defenseout the development cycle. However, the low readability of existing automated test case tools hinders developers from directly using them. In addition, current approaches exhibit sensitivity to individual words in the input code, often producing completely different results for minor changes in the

cogitate

果仁

意外

要控制

ECCRG: A Emotion- and Content-Controllable Response Generation Modeld adversarial learning loss to jointly train the model. Experimental results show that ECCRG can embody the set target content in the generated responses, allowing us to achieve controllability on both emotion and textual content.