EdisonLeeeee / MAGI
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
☆11Updated 7 months ago
Alternatives and similar repositories for MAGI:
Users that are interested in MAGI are comparing it to the libraries listed below
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆34Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆37Updated last year
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆14Updated 11 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 4 months ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆13Updated 11 months ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆15Updated 10 months ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆31Updated 9 months ago
- Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization☆38Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆33Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [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☆24Updated 2 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 3 months ago
- ☆11Updated last year
- [Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering☆10Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆22Updated 3 months ago
- ☆12Updated last year
- A curated list of papers on graph structure learning (GSL).☆42Updated last month
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆18Updated 10 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44Updated last year
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆23Updated last year
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Updated 11 months ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆34Updated 7 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 8 months ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Updated 11 months ago