EdisonLeeeee / MAGILinks
[KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
☆16Updated last year
Alternatives and similar repositories for MAGI
Users that are interested in MAGI are comparing it to the libraries listed below
Sorting:
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆61Updated 9 months ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 4 months ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- CIKM'23 - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆88Updated 8 months ago
- ☆14Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra …☆84Updated 7 months ago
- ☆16Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆34Updated 2 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 6 months ago
- ☆39Updated 4 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- ☆49Updated 2 years ago
- Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.☆25Updated 3 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated last year
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆12Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆164Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆45Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆36Updated last year