6lyc / CDNMFLinks
Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection" (ICASSP 2024)
☆35Updated last month
Alternatives and similar repositories for CDNMF
Users that are interested in CDNMF are comparing it to the libraries listed below
Sorting:
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆37Updated 4 months ago
- A Survey of Learning from Graphs with Heterophily☆144Updated 4 months ago
- A Unified Library for Deep Graph Clustering☆111Updated last month
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆61Updated 9 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- ☆49Updated 2 years ago
- ☆39Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆88Updated 8 months ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆62Updated 2 years ago
- ACM MM 2023: Self-contrastive graph diffusion network☆18Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆16Updated last year
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆37Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- [WSDM 2022] Efficient Graph Convolution for Joint Node Representation Learning and Clustering☆19Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆60Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆26Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- KDD'22☆64Updated 2 years ago
- ☆115Updated last year
- ☆19Updated 6 months ago
- Source code for the paper "Dual Contrastive Learning Network for Graph Clustering"☆12Updated last year
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆54Updated last month
- ☆16Updated 2 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆200Updated last month
- ☆33Updated 2 years ago