Events2Join

GNNBook@2023


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 ...

Graph neural networks for materials science and chemistry - Nature

After introducing the basic principles of GNNs as well as selected GNN ... 48 of Proceedings of Machine Learning Research, 2014–2023 (PMLR, New ...

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_.

Graph Neural Network and Some of GNN Applications - neptune.ai

Chemists can use GNNs to research the graph structure of molecules or compounds. In these graphs, nodes are atoms, and edges – chemical bonds.

PyG: Home

PyG is the ultimate library for Graph Neural Networks.

A survey of graph neural networks in various learning paradigms

A survey of graph neural networks in various learning paradigms: Methods, applications, and challenges. Citation. Waikhom, L., & Patgiri, R. (2023).

Evaluating Post-hoc Explanations for Graph Neural Networks via ...

2023 · 2022 · 2021 · 2020 · 2019 · 2018 · 2017 · 2016 · 2015 · 2014 · 2013 · 2012 · 2011 · 2010 · 2009 ... Hall C2 (level 1 gate 9 south of food court). [ ...

TGL Workshop 2023 - Google Sites

This workshop bridges the conversation among different areas such as temporal knowledge graph learning, graph anomaly detection, and graph representation ...

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 ( ...

Hands-On Graph Neural Networks Using Python | Data | Print - Packt

In reality, there are various kinds of GNNs and GNN ... 1 of 5. Left arrow icon. Machine Learning Engineering with Python. Read more. Aug 2023 462 pages.

LOG 2023 Conference | OpenReview

The Second Learning on Graphs Conference. LoG 2023. https://logconference.org/[email protected]. Accelerating Molecular Graph Neural Networks via ...

Graph & Geometric ML in 2024: Where We Are and What's Next (Part I

Past 2023 was so ripe with results that we had to break this post into two parts. This is Part I focusing on theory & new architectures, see ...

Learning on Graphs Conference

LoG 2022 LoG 2023 · Contact. Learning on Graphs Conference 2024. LoG is an annual research conference that covers areas broadly related to machine learning on ...

Do Not Train It: A Linear Neural Architecture Search of Graph Neural ...

... 2023. Abstract. Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually ...

Graph Neural Networks for optimized networks - Ericsson

Nov 21, 2023 | 4 min. Oscar Llorente · Oscar Llorente. Data Scientist working in Graph Neural Networks. Oscar Llorente.

Deep Learning on Graphs - Yao Ma

... 2023 of: International confer- ence on machine learning. Norcliffe-Brown, Will, Vafeias, Stathis, and Parisot, Sarah. 2018. Learning conditioned graph ...

Hands-On Graph Neural Networks Using Python[Book] - O'Reilly

Maxime Labonne. Released April 2023. Publisher(s): Packt Publishing. ISBN: 9781804617526. Read it now on the O'Reilly learning platform with a 10-day free trial ...

Stanford Graph Learning Workshop 2023

The workshop will bring together leaders from academia and industry to showcase recent advances in Machine Learning and AI in Relational domains.

Introduction to Graph Deep Learning

Guest lecture for CS 7643 Deep Learning, Fall 2023. Page 2. Introduction to ... ▫ GNN provides us node embedding z! ▫ Supervised setting: ▫ we want ...

Xiaojie Guo on LinkedIn: GNNs_KDD2023.pdf

If you are attending ACM SIGKDD & Annual KDD Conference 2023 at Long Beach CA today, please feel free to come our series of GNN tutorials ...