Abstract: Streaming edge partitioning plays a crucial role in the distributed processing of large-scale web graphs, such as pagerank. The quality of partitioning is of utmost importance and directly ...

Abstract: Graph-based clustering methods have demonstrated the effectiveness in various applications. Generally, existing graph-based clustering methods first construct a graph to represent the input ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

OpenAI just used its new large language model GPT-5.6 Sol to solve a math problem that humans have struggled with for more than a half-century. And all it took was telling the artificial intelligence ...

Learn how to improve NGS library preparation, reduce bias, and increase sequencing yield with practical strategies for ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

The Wachenheim Center for Peace and Security has developed a set of Crisis Response Playbooks for U.S. policy planners when bandwidth is limited and decisions are consequential. When a U.S. partner ...

Seven opportunities for teenagers to engage, experiment, reflect and create — via writing, audio, video, visual art and more. By The Learning Network To participate, submit your response here by Aug.

AMD released Instella-MoE-16B-A3B, a fully open Mixture-of-Experts language model trained from scratch on Instinct MI300X and MI325X GPUs. It holds 16B total parameters but activates only 2.8B per ...

We propose Marius, a system for efficient training of graph embeddings that leverages partition caching and buffer-aware data orderings to minimize disk access and interleaves data movement with ...