☆77Jul 4, 2021Updated 4 years ago
Alternatives and similar repositories for Graph-MLP
Users that are interested in Graph-MLP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.☆15Jun 17, 2021Updated 4 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Jul 10, 2022Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 2 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Aug 12, 2021Updated 4 years ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆28Apr 8, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 years ago
- ☆16Feb 26, 2023Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 2024Updated last year
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 4 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- Pytorch implementation of EvenNet.☆21Oct 25, 2022Updated 3 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆355Apr 25, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The source code of HeCo☆173Apr 8, 2022Updated 4 years ago
- NeurIPS 2024 "NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise"☆32Jun 4, 2025Updated 11 months ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆361Jul 9, 2020Updated 5 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆79Apr 4, 2022Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Jul 25, 2021Updated 4 years ago
- Releated Paper: (AAAI2020) Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View.☆27Jul 30, 2020Updated 5 years ago
- Hypergraph convolution and attention networks research☆15Jul 31, 2024Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"☆14Dec 14, 2021Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Jun 25, 2022Updated 3 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Aug 16, 2024Updated last year
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆18Feb 28, 2023Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆57Oct 11, 2021Updated 4 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Sep 27, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Implementation of the CTDNE algorithm.☆15Oct 28, 2018Updated 7 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆323Dec 9, 2024Updated last year
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆122Aug 3, 2022Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆41Apr 1, 2022Updated 4 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago