Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

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 ...

Sept, 2022 The paper DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population has been accepted by the EMNLP 2022 System Demonstration Track. May, 2022 We have released ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

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What will your day look like in terms of health, romance, finance and fortune? Read everything here. Cancer Money Horoscope Today You will be comfortable in making decisions. You will explore new ...

ATLANTA – The comparisons continue between Scottie Scheffler and Tiger Woods. Scheffler’s comeback win at the BMW Championship, the second stop in the FedExCup Playoffs, notched his fifth victory of ...

Abstract: Many datasets including social media data and bibliographic data can be modeled as graphs. Clustering such graphs is able to provide useful insights into the structure of the data. To ...