☆57Oct 25, 2023Updated 2 years ago
Alternatives and similar repositories for gnn-tail-generalization
Users that are interested in gnn-tail-generalization are comparing it to the libraries listed below
Sorting:
- Tail-GNN: Tail-Node Graph Neural Networks☆34Sep 5, 2021Updated 4 years ago
- Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".☆13Dec 10, 2020Updated 5 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☆27Nov 27, 2024Updated last year
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 2 years ago
- ☆38Dec 1, 2021Updated 4 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- ☆13Jul 13, 2023Updated 2 years ago
- [TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources☆11Mar 21, 2023Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- ☆12Mar 18, 2024Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Jun 13, 2022Updated 3 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Mar 4, 2024Updated 2 years ago
- ☆11Feb 22, 2023Updated 3 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28May 29, 2024Updated last year
- Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"☆29Nov 21, 2025Updated 3 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Mar 7, 2023Updated 2 years ago
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated last year
- ☆13Jun 18, 2025Updated 8 months ago
- Long-tail Augmented Graph Contrastive Learning for Recommendation, ECML/PKDD 2023☆12Sep 22, 2023Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- ☆15Nov 3, 2022Updated 3 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆15Sep 24, 2023Updated 2 years ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆17Mar 4, 2025Updated 11 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90May 28, 2024Updated last year
- GLASS: GNN with Labeling Tricks for Subgraph Representation Learning☆31Dec 10, 2022Updated 3 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☆53Nov 23, 2022Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆98Nov 6, 2023Updated 2 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆90Oct 25, 2021Updated 4 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated last year
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 2024Updated last year
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Nov 30, 2021Updated 4 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Dec 31, 2024Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year