Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
☆95Apr 2, 2022Updated 3 years ago
Alternatives and similar repositories for DySAT_pytorch
Users that are interested in DySAT_pytorch are comparing it to the libraries listed below
Sorting:
- Representation learning on dynamic graphs using self-attention networks☆308Mar 24, 2023Updated 2 years ago
- ☆65Nov 23, 2020Updated 5 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Apr 26, 2020Updated 5 years ago
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆20May 23, 2022Updated 3 years ago
- Implement EvolveGCN by DGL.☆31Sep 26, 2021Updated 4 years ago
- ☆341Jul 25, 2024Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37May 8, 2024Updated last year
- ☆16Oct 12, 2023Updated 2 years ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆702Jun 4, 2025Updated 9 months ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Jan 22, 2026Updated last month
- Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"☆21Sep 21, 2023Updated 2 years ago
- code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024☆13Oct 5, 2024Updated last year
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- ☆67Oct 14, 2021Updated 4 years ago
- ☆11Jan 28, 2023Updated 3 years ago
- ☆144Nov 5, 2023Updated 2 years ago
- ☆11Oct 16, 2024Updated last year
- 使用GCN实现mnist手写数字分类☆13Oct 24, 2021Updated 4 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Jan 4, 2022Updated 4 years ago
- Implementation of the CTDNE algorithm.☆15Oct 28, 2018Updated 7 years ago
- ☆74Nov 19, 2022Updated 3 years ago
- CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)☆27Dec 18, 2024Updated last year
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Aug 9, 2019Updated 6 years ago
- ☆13Aug 30, 2019Updated 6 years ago
- ☆17Nov 7, 2024Updated last year
- This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.☆17Sep 8, 2023Updated 2 years ago
- Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"☆14Jun 11, 2021Updated 4 years ago
- Graph Clustering with Embedding Propagation☆16Feb 20, 2019Updated 7 years ago
- ☆16Apr 14, 2024Updated last year
- Final project repo for UCLA CS 267A☆13Aug 29, 2020Updated 5 years ago
- ☆17Jul 18, 2025Updated 7 months ago
- Code repository for the research project "You Play Ball, I Play Ball: Bayesian Multi-Agent Reinforcement Learning for Slime Volleyball", …☆17Nov 15, 2020Updated 5 years ago
- 对招股书的财务勾稽关系校验，包含跨表勾稽、表内勾稽、文表勾稽多种校验，校验后在pdf文档中自动高亮显示。☆17Jul 28, 2023Updated 2 years ago
- Released codes of the RETIA model.☆19Mar 20, 2024Updated last year
- A web UI that plots finite group Cayley Graphs in 3D☆20Oct 2, 2023Updated 2 years ago
- Source code for WWW23 "Unsupervised Entity Alignment for Temporal Knowledge Graphs".☆21Jun 19, 2023Updated 2 years ago
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆34Jul 2, 2019Updated 6 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆412Jul 25, 2024Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆64Oct 22, 2023Updated 2 years ago