A paper collection about automated graph learning
☆99Jun 8, 2024Updated last year
Alternatives and similar repositories for awesome-auto-graph-learning
Users that are interested in awesome-auto-graph-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆26Dec 29, 2022Updated 3 years ago
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR'22, Oral)☆26Apr 3, 2024Updated 2 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR'21)☆53May 4, 2022Updated 4 years ago
- An autoML framework & toolkit for machine learning on graphs.☆1,135Nov 20, 2025Updated 5 months ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆14Mar 7, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This directory contains code necessary to run the GraphNAS algorithm.☆182Jul 6, 2023Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 2 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Jan 26, 2022Updated 4 years ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆23Jul 25, 2022Updated 3 years ago
- Auto-GNAS is a general parallel graph neural architecture search framework for different tasks on graph datasets.☆34Aug 4, 2022Updated 3 years ago
- Papers about large graph models.☆291Mar 24, 2024Updated 2 years ago
- ☆10Sep 16, 2021Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Papers about explainability of GNNs☆800Mar 5, 2026Updated 2 months ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆34Oct 2, 2022Updated 3 years ago
- A curated list of papers on graph transfer learning (GTL).☆18Oct 23, 2023Updated 2 years ago
- A collection of research papers related to graph structure learning(GSL).☆16Oct 11, 2022Updated 3 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Jun 2, 2023Updated 2 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Dec 29, 2021Updated 4 years ago
- Source Code of TemDep☆13Dec 20, 2023Updated 2 years ago
- Release doc/tutorial/wheels for poseidon-tf☆10Jan 18, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- [WWW 2023] Code for "Graph Neural Networks with Diverse Spectral Filtering"☆22Dec 15, 2023Updated 2 years ago
- [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"☆22Dec 14, 2023Updated 2 years ago
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆17Jan 15, 2025Updated last year
- Transformer Doctor: Diagnosing and Treating Vision Transformers☆11Jan 15, 2025Updated last year
- Sample, estimate, aggregate: A recipe for causal discovery foundation models☆17Jun 21, 2024Updated last year
- Papers about graph transformers.☆928Mar 19, 2025Updated last year
- Collaborative Filtering Autoencoder Neural Network☆10Jun 27, 2018Updated 7 years ago
- links to conference publications in graph-based deep learning☆5,057Feb 7, 2026Updated 3 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Deep Graph Outlier Detection☆67Oct 5, 2023Updated 2 years ago
- ☆11Oct 9, 2022Updated 3 years ago
- CS410 Artificial Intelligence Project☆13Jun 3, 2017Updated 8 years ago
- A curated list of graph data augmentation papers.☆313Apr 17, 2024Updated 2 years ago
- An awesome collection of causality-inspired graph neural networks.☆103Nov 30, 2024Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,820Feb 1, 2024Updated 2 years ago
- Implementation of Semi-AE-Rec (ICONIP 2017)☆11Aug 10, 2018Updated 7 years ago