Graphene could transform everything from electric cars to smartphones, but only if we can guarantee its quality. The ...

SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...

The cybersecurity industry loves a good quote. At every conference, buried among the slide decks littered with questionable quotes from Sun Tzu's Art of War, you will occasionally strike gold and see ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Abstract: Subgraph matching is challenging as it necessitates time-consuming combinatorial searches. Recent Graph Neural Network (GNN)-based approaches address this issue by employing GNN encoders to ...

A tweet from the official Democratic Party’s X account was ridiculed on Thursday after inadvertently showing prices skyrocketing under former President Joe Biden. The post attempted to describe rising ...

Traceback (most recent call last): File "E:\voicevox\vv_core_inference\__gi_compact\ne.py", line 136, in test_model_inference session = ort.InferenceSession ...

It would be ideal to, instead of first applying replace_convs_with_boo and then our graph fusion, we could simply substitute all torch.ops.aten.convolution with torch.ops.boo.convolution during the ...

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...