Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"
☆22Nov 18, 2024Updated last year
Alternatives and similar repositories for When-Do-GNNs-Help
Users that are interested in When-Do-GNNs-Help are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆92Nov 21, 2024Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆272Dec 4, 2024Updated last year
- A Survey of Learning from Graphs with Heterophily☆167Feb 28, 2025Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 3 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Nov 2, 2023Updated 2 years ago
- 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.
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆127Mar 7, 2023Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆128Jul 22, 2022Updated 3 years ago
- ☆193Mar 25, 2024Updated 2 years ago
- The official source code for HyGCL-AdT that is published to WWW 24.☆12Mar 12, 2024Updated 2 years ago
- 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
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆11Mar 21, 2023Updated 3 years ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11May 10, 2024Updated 2 years ago
- ☆11Mar 13, 2024Updated 2 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 4 years ago
- ☆142Jul 9, 2023Updated 3 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆34Dec 21, 2021Updated 4 years ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Mar 14, 2025Updated last year
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆19Jul 9, 2024Updated 2 years ago
- ☆26Apr 28, 2024Updated 2 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆54Sep 25, 2024Updated last year
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Jul 25, 2024Updated last year
- 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 official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆48Mar 15, 2024Updated 2 years ago
- ☆12Nov 16, 2023Updated 2 years ago
- the code of MoG☆22Aug 6, 2024Updated last year
- Production build of the new website☆13May 19, 2024Updated 2 years ago
- Official Implementation of Graph Mixer Networks☆20Dec 5, 2023Updated 2 years ago
- Reward Propagation using Graph Convolutional Networks☆13Jun 19, 2021Updated 5 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Oct 17, 2023Updated 2 years ago
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Jun 7, 2025Updated last year
- Benchmark☆119Apr 9, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆23Jan 4, 2022Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Jan 31, 2023Updated 3 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- 一个多页面的前端电商网站项目☆12Aug 18, 2019Updated 6 years ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆19Dec 4, 2024Updated last year
- using opencv-python cv2.grabCut to cut image interactively☆10Jun 10, 2018Updated 8 years ago