dynamic graph/network embedding/representation methods
☆17Apr 27, 2020Updated 6 years ago
Alternatives and similar repositories for dynamic-graph-embedding-method
Users that are interested in dynamic-graph-embedding-method are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python 3 supported version for DySAT☆13Mar 24, 2023Updated 3 years ago
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13May 10, 2025Updated last year
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆618Oct 11, 2021Updated 4 years ago
- Incremental vertex representation learning using random walks and skip-gram model.☆12Jan 22, 2019Updated 7 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Source Code for Paper "Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection" (arxiv: https://arxiv.o…☆22Jul 13, 2024Updated last year
- Official Code for What Makes and Breaks Safety Fine-tuning? A Mechanistic Study (NeurIPS 2024)☆12Oct 31, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of "NegMerge: Sign-Consensual Weight Merging for Machine Unlearning"☆16Nov 25, 2025Updated 6 months ago
- ☆10Oct 29, 2020Updated 5 years ago
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Feb 8, 2025Updated last year
- ☆31Nov 15, 2025Updated 6 months ago
- ☆17Nov 7, 2024Updated last year
- Sustain-LC is a benchmarking environment for traditional and reinforcement learning based controls as well as LLM based control☆34Aug 7, 2025Updated 10 months ago
- Use to store public paper and organize them.☆18Feb 26, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Influence Maximization Paper List☆11May 11, 2022Updated 4 years ago
- Implementation of the CTDNE algorithm.☆15Oct 28, 2018Updated 7 years ago
- A study of performance of optimal transport.☆10Jul 4, 2020Updated 5 years ago
- ☆14Sep 4, 2020Updated 5 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Nov 19, 2023Updated 2 years ago
- 动态图嵌入方法学习☆16Jan 20, 2022Updated 4 years ago
- A scalable OpenMPI runtime container for Docker☆10Aug 15, 2016Updated 9 years ago
- ☆15Feb 26, 2025Updated last year
- The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".☆12Apr 11, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆17Oct 22, 2020Updated 5 years ago
- 林九州 四川大学 第七届信也科技杯图算法大赛——欺诈用户风险识别 代码☆10Jul 17, 2022Updated 3 years ago
- ☆10Jun 23, 2022Updated 3 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks☆12Oct 4, 2021Updated 4 years ago
- ☆15Mar 2, 2023Updated 3 years ago
- The source code of a community detection method in dynamic networks for paper "IncNSA: Detecting communities incrementally from time-evol…☆30Nov 5, 2021Updated 4 years ago
- a survey on deep research☆48Sep 9, 2025Updated 9 months ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆51Sep 9, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Nov 6, 2019Updated 6 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆50Oct 8, 2021Updated 4 years ago
- ☆357Apr 7, 2020Updated 6 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 3 years ago
- ☆23May 9, 2025Updated last year
- Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings☆15May 3, 2023Updated 3 years ago
- Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"☆18Jan 30, 2024Updated 2 years ago