A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).[paper] Abstract Graph Neural Networks (GNNs), which generalize the deep neural networks to graph-structured data, have achieved great success in modeling graphs. However, as an extension of deep learning for ...
Towards Explainable AI Using Similarity: An Analogues Visualization System Vin´ıcius Segura1(B) , Bruna Branda˜o2, Ana Fucs1, and Emilio Vital Brazil1 1 IBM Research, Rio de Janeiro, RJ, Brazil {vboas,anafucs,evital}@br.ibm.com 2 University of Calgary, Calgary, AB, Canada ...
SIRI: Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question AnsweringPaper CooperKGC: Multi-Agent Synergy for Improving Knowledge Graph ConstructionPaperCode DoraemonGPT: Toward understanding dynamic scenes with large language modelsPaperCode WildfireGPT: Tailored Large Language ...
原文:https://towardsdatascience.com/recent-advancements-in-explainable-neural-networks-2cd06b5d2016?source=collection_archive---25--- 回顾十年(2010–2020),四集系列 神经网络的兴起 神经网络已经超越了许多其他机器学习模型,如 SVM,adaboost,梯度提升树等。在各种任务中,如图像识别、视觉问答、句子完成等。,...
Attention is important even if it occasionally doesn't produce better results because it always has the advantage of making the AI model moreExplainable. Having said that, Attentiondoeswork well most of the time. In fact, it works so darn well that the RNN piece is now decoupled and the...
Crystal twins: self-supervised learning for crystalline material property prediction. npj Comput. Mater. 8, 231 (2022). Sanyal, S. et al. MT-CGCNN: integrating crystal graph convolutional neural network with multitask learning for material property prediction. Preprint at https://arxiv.org/abs/...
In the long run, we will likely gain a better understanding of how GNNs work and how to make them more expressive and explainable. Old ideas from Signal Processing, Neuroscience, and Physics get a new life. Graph signal processing is considered by many the spark that re-ignited the recent ...
- What existing AI-explainable tools be used in the design of organizational resilience model?- How to assess the short, medium and long term impacts of the use AI technology on social worker daily practice?-What is the maturity level of AI technology that would boost the implementation of ...
CBR is utilized in a variety of applications. Lamy et al. [52], for example, provide a visual case-based reasoning strategy for explainable artificial intelligence for breast cancer. Gonzalez et al. [30] provide a case-based reasoning-based energy optimization technique. Khosravani et al. [47...
Understand the Workings of SHAP and Shapley Values Used in Explainable AI Are you still confused about the working of SHAP and Shapley values? Let me provide the most simple and intuitive explanation of SHAP and… Aug 1, 2022 Shaw Talebi in Towards Data Science 5 AI Projects Yo...