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Graph neural network

Definition

Graph neural networks (GNN) are specialized artificial neural networks that are designed for tasks whose inputs are graphs.

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Manning Citation graph Claude (language model)Claude Shannon Cliff Shaw Cluster analysis Coefficient of determination Combinatorial optimization Competition in artificial intelligence Complete graph Computational learning theory Computer vision Concatenation Conditional random field Conference on Neural Information Processing Systems Confusion matrix Conjugate gradient method Convolution Convolutional neural network Crowdsourcing Curriculum learning DALL-E DBRX DBSCAN Daniel Kokotajlo (researcher)Data augmentation Data cleaning Data mining Data structure alignment David Silver (computer scientist)Decision tree learning DeepDream DeepMind DeepSeek (chatbot)Deep learning Deep learning speech synthesis Degree matrix Demis Hassabis Density estimation Diameter (graph theory)Differentiable functions Differentiable neural computer Diffusion model Diffusion process Dimensionality reduction Double descent Downsampling (signal processing)Dream Machine (text-to-video model)ECML PKDD Echo state network Eigenvalue Electrochemical RAM ElevenLabs Empirical risk minimization Ensemble learning Environmental impact of artificial intelligence Escherichia coli Ethics of artificial intelligence Eulerian path Expectation–maximization algorithm Explainable artificial intelligence Facial recognition system Factor analysis Feature (machine learning)Feature engineering Feature learning Federated learning Feedforward neural network Fei-Fei Li Filter (signal processing)Flux (machine-learning framework)Flux (text-to-image model)Frank Rosenblatt François Chollet Fraud detection Fuzzy clustering GPT Image Gated recurrent unit Gating mechanism Gemini (chatbot)Gemini (language model)Gemma (language model)Generative AI Generative adversarial network Generative engine optimization Generative model Generative pre-trained transformer Genie (world model)Geoffrey Hinton GitHub GloVe Glossary of artificial intelligence Google Google JAX Gradient descent Grammar induction Graph (abstract data type)Graph (discrete mathematics)Graph coloring Graph isomorphism Graphical model Grok (chatbot)Hadamard product (matrices)Hallucination (artificial intelligence)Handwriting recognition Herbert A. Simon Heterogeneous network Heterophily Hidden Markov model Hierarchical clustering Highway network History of artificial intelligence Homophily Huawei PanGu Human-in-the-loop Human image synthesis Humanity's Last Exam Hypergraph Hyperparameter (machine learning)IBM Granite IBM Watson IBM Watsonx Ian Goodfellow Identity matrix Ideogram (text-to-image model)Ilya Sutskever Imagen (text-to-image model)Imitation learning Independent component analysis Intelligent agent International Conference on Learning Representations International Conference on Machine Learning International Joint Conference on Artificial Intelligence Intrusion detection system Invariant (mathematics)Isolation forest James Goodnight Jan Leike John Hopfield John McCarthy (computer scientist)John Schulman John von Neumann Joseph Weizenbaum Journal of Machine Learning Research Julia (programming language)Jürgen Schmidhuber K-means clustering K-nearest neighbors algorithm Kernel machines Kling AI Kunihiko Fukushima LaMDA Language model Large language model Latent diffusion model Layer (deep learning)LeNet Learning curve (machine learning)Learning to rank Lethal autonomous weapon Library (computing)Linear discriminant analysis Linear regression Link prediction List of artificial intelligence companies List of artificial intelligence projects List of datasets for machine-learning research List of datasets in computer vision and image processing Llama (language model)Local outlier factor Logistic regression Long short-term memory Loss functions for classification Lotfi A. 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Le Qwen Random forest Random sample consensus ReLU Reasoning model Receiver operating characteristic Recommender system Recraft Rectifier (neural networks)Recurrent neural network Recursive self-improvement Reflection (artificial intelligence)Regression analysis Regularization (mathematics)Regulation of artificial intelligence Regulation of artificial intelligence in the United States Reinforcement learning Reinforcement learning from human feedback Relevance vector machine Reservoir computing Residual neural network Restricted Boltzmann machine Retrieval-augmented generation Riffusion Robot control Rule-based machine learning Runway (company)Seedance 2.0 Self-driving car Self-organizing map Self-play (reinforcement learning technique)Self-supervised learning Semantic analysis (machine learning)Semi-supervised learning Seppo Linnainmaa Seq2seq Seymour Papert Shortest path problem Shun'ichi Amari Sigmoid function Simplicial complex Social graph Social networks Social relations Softmax function Sora (text-to-video model)Sparse dictionary learning Speech recognition Spiking neural network Stable Diffusion State–action–reward–state–action Statistical classification Statistical learning theory Stefanie Jegelka Stephen Grossberg Stochastic gradient descent Structured prediction Suno (platform)Supervised learning Support vector machine Symbolic artificial intelligence T-distributed stochastic neighbor embedding T5 (language model)Takeo Kanade Temporal difference learning Temporal network TensorFlow Text-to-image model Text-to-video model Thomas Kipf Timeline of artificial intelligence Topological deep learning Training, validation, and test data sets Transformer (deep learning)Transformer (deep learning architecture)Transformer (machine learning model)Transpose U-Net Udio Uncanny valley Unsupervised learning Vanishing gradient problem Vapnik–Chervonenkis theory Variational autoencoder Veo (text-to-video model)Vibe coding Virtual politician Vision transformer Walter Pitts Warren Sturgis McCulloch Water distribution system WaveNet Weak artificial intelligence Weight initialization Weisfeiler Leman graph isomorphism test Whisper (speech recognition system)Word2vec Word embedding Words Workplace impact of artificial intelligence World model (artificial intelligence)Xiaomi MiMo Yann LeCun Yoshua Bengio Yujia Li

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