WebSep 1, 2024 · Graphcom has an overall rating of 4.4 out of 5, based on over 23 reviews left anonymously by employees. 87% of employees would recommend working at Graphcom to a friend and 93% have a positive outlook for the business. This rating has improved by 1% over the last 12 months. WebSep 5, 2024 · It is known that Spiking Neural Networks (SNNs) can perform inexpensive computation by transmitting the input signal data into discrete spike trains and can also return sparse outputs. Inspired by the merits of SNNs, in this work, we propose a novel Graph Spiking Attention Network (GSAT) for graph data representation and learning.
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WebAug 1, 2024 · 由于gsat能够帮助去除伪相关性,它同时也能帮助提升模型的分类泛化能力。如下图,gsat在11个数据集上提升了平均3%的模型准确率,并且在ogbg-molhiv榜单上达到sota(在不使用手工设计的专家特征的模型中)。 ood泛化性能(伪相关性移除) Commonly used attention mechanisms have been shown to be unable to provide reliable interpretation for graph neural networks (GNNs). So, most previous works focus on developing post-hoc interpretation methods for GNNs. This work shows that post-hoc methods suffer from several fundamental issues, such as … See more We have tested our code on Python 3.9 with PyTorch 1.10.0, PyG 2.0.3 and CUDA 11.3. Please follow the following steps to create a virtual … See more The rationale of GSAT is to inject stochasticity when learning attention. For example, Fig 2 shows a task to detect if there exists a five-node-circle in the input graph, so edges with pink end nodes are the critical edges for … See more We provide examples with minimal code to run GSAT in ./example/example.ipynb. We have tested the provided examples on Ba-2Motifs (GIN), Mutag (GIN) and OGBG-Molhiv (PNA). Yet, to implement GSAT* one needs to load a … See more imc ligament