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Abstract: Directed graphs arise naturally in many realworld applications, yet most graph neural networks are designed for undirected settings. This paper proposes a graph neural network framework that ...

Abstract: In the digital age, temporal knowledge graphs (TKGs) have emerged as powerful tools for representing dynamic knowledge by incorporating a temporal dimension to capture changes in entities ...

The hugegraph-llm is a tool for the implementation and research related to large language models. This project includes runnable demos, it can also be used as a third-party library. As we know, graph ...

PWM is the evaluation harness + current best methods for computational imaging -- an open, reproducible toolkit that aims to make any imaging system self-specifying, self-diagnosing, and ...