[IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
☆18Nov 5, 2024Updated last year
Alternatives and similar repositories for LSGNN
Users that are interested in LSGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heter…☆12Apr 27, 2023Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆10Jun 15, 2021Updated 4 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- [Neurips 2024] Disentangled Graph Homophily☆29Jan 21, 2025Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆18May 30, 2023Updated 3 years ago
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆40Sep 23, 2022Updated 3 years ago
- ☆10May 16, 2023Updated 3 years ago
- 动态图嵌入方法学习☆16Jan 20, 2022Updated 4 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Dec 2, 2023Updated 2 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆28Feb 24, 2022Updated 4 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.
- Code repository for the VLDB2023 paper "Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank".☆11Apr 26, 2024Updated 2 years ago
- ☆19May 29, 2022Updated 4 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 2 years ago
- 一个多页面的前端电商网站项目☆12Aug 18, 2019Updated 6 years ago
- Analysing fairness of graph anomaly detection methods☆12Nov 24, 2024Updated last year
- using opencv-python cv2.grabCut to cut image interactively☆10Jun 10, 2018Updated 8 years ago
- ☆15Dec 28, 2023Updated 2 years ago
- Conditional Mutual Informaation Neural Estimator☆15Oct 23, 2020Updated 5 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆128Jul 22, 2022Updated 3 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.
- This repository contains the pytorch code for our BMVC 2022 paper "BaseTransformers: Attention over base data-points for One Shot Learnin…☆13Mar 20, 2024Updated 2 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Jun 9, 2021Updated 5 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 3 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆46Jul 5, 2022Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆68Jan 31, 2026Updated 4 months ago
- ☆31Dec 13, 2023Updated 2 years ago
- Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification☆17May 31, 2023Updated 3 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆34Feb 28, 2023Updated 3 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆28Nov 27, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repo contains LaTeX template for experiment report.☆11Aug 17, 2021Updated 4 years ago
- A statistical framework for graph anomaly detection.☆17Sep 23, 2018Updated 7 years ago
- Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures☆25Oct 27, 2023Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- codes of LEGNN for Semi-supervised Node Classification☆12Jun 1, 2022Updated 4 years ago
- ☆18Mar 15, 2024Updated 2 years ago
- A PyTorch-based suite of deep unsupervised clustering algorithms☆13Jun 29, 2024Updated last year