Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your ...
Amazon has developed a new networking topology that's up to a third faster and up to 40 percent more energy efficient than traditional hierarchical network designs. The novel architecture, called ...
Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.
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