Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
☆97Apr 2, 2022Updated 4 years ago
Alternatives and similar repositories for DySAT_pytorch
Users that are interested in DySAT_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Representation learning on dynamic graphs using self-attention networks☆317Mar 24, 2023Updated 3 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆620Oct 11, 2021Updated 5 years ago
- Implement EvolveGCN by DGL.☆30Sep 26, 2021Updated 5 years ago
- ☆65Nov 23, 2020Updated 5 years ago
- ☆347Jul 25, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆38Apr 26, 2020Updated 6 years ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆713Jun 4, 2025Updated last year
- ☆68Oct 14, 2021Updated 5 years ago
- ☆16Oct 12, 2023Updated 3 years ago
- ☆146Nov 5, 2023Updated 3 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37May 8, 2024Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Jun 15, 2026Updated 4 months ago
- ☆17Apr 14, 2024Updated 2 years ago
- Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"☆20Sep 21, 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.
- TGN: Temporal Graph Networks☆1,214May 28, 2024Updated 2 years ago
- Python 3 supported version for DySAT☆13Mar 24, 2023Updated 3 years ago
- ☆11Jan 28, 2023Updated 3 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆425Jul 25, 2024Updated 2 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
- Released codes of the RETIA model.☆20Mar 20, 2024Updated 2 years ago
- code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024☆18Oct 5, 2024Updated 2 years ago
- ☆357Apr 7, 2020Updated 6 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆463Oct 29, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆11Oct 16, 2024Updated 2 years ago
- This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.☆18Sep 8, 2023Updated 3 years ago
- Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970☆19Jul 31, 2023Updated 3 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆64Nov 10, 2024Updated last year
- [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks☆79Sep 27, 2023Updated 3 years ago
- 一个XGNN实现过程☆12Apr 20, 2021Updated 5 years ago
- ☆10Oct 29, 2020Updated 6 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Aug 9, 2019Updated 7 years ago
- ☆60Dec 1, 2022Updated 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.
- ☆16Oct 8, 2021Updated 5 years ago
- ☆13Jun 22, 2021Updated 5 years ago
- Codes for CIKM'24 paper: DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning☆14Dec 6, 2024Updated last year
- 使用GCN实现mnist手写数字分类☆13Oct 24, 2021Updated 5 years ago
- Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"☆14Jun 11, 2021Updated 5 years ago
- CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)☆29Dec 18, 2024Updated last year
- Source code for the paper 'Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform'.☆12Nov 9, 2022Updated 3 years ago