GNNBook@2023
图神经网络又称为图深度学习、图表征学习（图表示学习）或几何深度学习，是机器学习特别是深度学习领域增长最快的研究课题。图论和深度学习交叉领域的这波研究浪潮也影响了 ...
Graph Neural Networks can Recover the Hidden Features ... - arXiv
Computer Science > Machine Learning. arXiv:2301.10956 (cs). [Submitted on 26 Jan 2023 (v1), last revised 23 Mar 2024 (this version, v4)] ...
[D] Overview of advancements in Graph Neural Networks - Reddit
... 2023. It provides an overview of the recent advancements that GNNs have made in industry, as well as a couple of impressive statistics about ...
ICASSP 2023 - Graph Neural Networks - University of Pennsylvania
Graph Neural Networks (GNNs) have emerged as the tool of choice for machine learning on graphs and are rapidly growing as the next deep learning frontier.
graph-neural-networks/graph-neural-networks.github.io
This repo is for hosting our GNN book titled "Graph Neural Networks ... add www 2023 tutorial & update lingfei's email. last year. miniconf.gif.
Zero-One Laws of Graph Neural Networks
... 2023) Main Conference Track. Bibtex Paper Supplemental. Authors. Sam Adam-Day, Iliant, Ismail Ceylan. Abstract. Graph neural networks (GNNs) are the de facto ...
Graph Neural Networks: Foundation, Frontiers and Applications
Graph Neural Networks: Foundation, Frontiers and Applications for KDD 2023 by Lingfei Wu et al.
Must-read papers on GNN - GitHub
Must-read papers on graph neural networks (GNN). Contribute to thunlp/GNNPapers development by creating an account on GitHub.
Conference general chair and Amazon Scholar Yizhou Sun on modeling long-range dependencies, improving efficiency, and new causal models.
Applied Deep Learning 2023 - Lecture 11 - Graph Neural Networks
Complete Playlist: https://www.youtube.com/playlist?list=PLNsFwZQ_pkE87JO3T_mvedVTlw0sjUzKh == Literature == 1. Menzli, Graph Neural ...
[2306.02376] Towards Deep Attention in Graph Neural Networks
Computer Science > Machine Learning. arXiv:2306.02376 (cs). [Submitted on 4 Jun 2023]. Title:Towards Deep Attention in Graph Neural Networks: Problems and ...
Graph Neural Networks: Libraries, Tools, and Learning Resources
Graph Neural Networks: Libraries, Tools, and Learning Resources. Author image. Amal Menzli. 4 min. 17th August, 2023. ML Model DevelopmentML Tools.
A review of graph neural networks: concepts, architectures ...
The literature is from the years 2018 to 2023. Table 1 GNN papers with their performance. Full size table ...
CS224W: Machine Learning with Graphs
... 2023 / CS224W: Winter 2023 / CS224W: Fall 2021 / CS224W: Winter 2021 ... GNN augmentation and training [slides]. Hierarchical Graph Representation ...
AI trends in 2024: Graph Neural Networks - AssemblyAI
... (GNN) have been rapidly advancing. ... A breakthrough paper published in Nature at the end of 2023 from MIT and Harvard seeks to demonstrate something different on ...
New Frontiers in Graph Learning (GLFrontiers) - NeurIPS 2024
2023 · 2022 · 2021 · 2020 · 2019 · 2018 · 2017 · 2016 · 2015 · 2014 · 2013 · 2012 · 2011 · 2010 · 2009 ... DiP-GNN: Discriminative Pre-Training of Graph Neural ...
Unifying Spectral and Spatial Graph Neural Networks
GNN approaches which cover most GNN. Over the past three years ... GNNBook@2023. https://graph-neural-networks.github.io/tutorial_.
GNN-IR: Examining graph neural networks for influencer ...
With this trend, companies and advertisers are more likely to pay attention to influencer marketing. According to the recent report of Statista in 2023, the ...
The best graph neural network resources to learn from - INDIAai
Therefore, a GNN book or a collection of online resources would be helpful for people looking to enter this field. Graphs are helpful in a wide ...
A Gentle Introduction to Graph Neural Networks - Distill.pub
A GNN is an optimizable transformation on all attributes of the graph (nodes, edges, global-context) that preserves graph symmetries ( ...