Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...

OpenAI and Google DeepMind Outshine Students at World’s Top Coding Contest

OpenAI scored a flawless 12/12 and Google DeepMind struck gold at ICPC 2025, the world’s toughest programming contest for top ...

The Importance Ranking of C++ Programming in Competitions

C++, a programming language with a long history yet always fresh, has a legendary status in the world of programming ...
IEEE

Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection

Abstract: A critical aspect of graph neural networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations ...
IEEE

Enhancing Document-Level Event Extraction via Structure-Aware Heterogeneous Graph with Multi-Granularity Subsentences

Abstract: Document-level Event Extraction aims to identify events from an entire article. It is quite a challenging task because event arguments scatter across several sentences and multiple events in ...