Code for paper "Mixup for Node and Graph Classification", WWW 2021
☆47Jun 3, 2021Updated 4 years ago
Alternatives and similar repositories for MixupForGraph
Users that are interested in MixupForGraph are comparing it to the libraries listed below
Sorting:
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆104Feb 29, 2024Updated 2 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Nov 6, 2023Updated 2 years ago
- Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.☆12Jun 18, 2021Updated 4 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆25Jun 7, 2023Updated 2 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆56Oct 11, 2021Updated 4 years ago
- Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"☆10Nov 17, 2020Updated 5 years ago
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Aug 21, 2023Updated 2 years ago
- ☆36Jun 29, 2022Updated 3 years ago
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆44Jan 18, 2025Updated last year
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated last year
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Apr 4, 2022Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Dec 10, 2021Updated 4 years ago
- [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"☆12Aug 25, 2021Updated 4 years ago
- ☆11Jan 23, 2021Updated 5 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆33Mar 11, 2024Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Dec 2, 2021Updated 4 years ago
- TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification☆71Oct 19, 2023Updated 2 years ago
- DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)☆18Mar 19, 2021Updated 5 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- ☆38Jun 3, 2023Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated last year
- Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification☆17May 31, 2023Updated 2 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
- ☆19Mar 8, 2019Updated 7 years ago
- GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)☆84Oct 25, 2023Updated 2 years ago
- ☆102Mar 22, 2021Updated 5 years ago
- Official implementation of our FLAG paper (CVPR2022)☆144Apr 2, 2022Updated 3 years ago
- ☆12Apr 16, 2020Updated 5 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆625Jul 17, 2024Updated last year
- Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph☆13Nov 13, 2022Updated 3 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆45Nov 1, 2023Updated 2 years ago
- Ongoing project: a library for graph foundation model☆13Feb 7, 2024Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Nov 29, 2021Updated 4 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Mar 21, 2022Updated 4 years ago
- ☆56Jan 27, 2020Updated 6 years ago
- ☆16Jun 3, 2022Updated 3 years ago
- PyTorch_Geometric实现的JK-Nets（Jumping Knowledge Network），其中也包括了baseline的GCN和GAT。数据集使用的「Cora、Citeseer、Pubmed」☆15Jan 23, 2021Updated 5 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 4 years ago