YesLab-Code / HTGNN
☆47Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for HTGNN
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆33Updated 6 months ago
- ☆98Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- 动态图嵌入方法学习☆13Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆81Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆48Updated last week
- ☆28Updated last year
- A pytorch implementation of graph transformer for node classification☆29Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆129Updated last year
- ☆75Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆55Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆26Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆70Updated 2 months ago
- ☆55Updated 2 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆65Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆99Updated 4 months ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆78Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆74Updated 3 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆52Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆17Updated last year
- ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs☆15Updated last year
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆59Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆50Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆52Updated last month
- The implementation for DropMessage.☆35Updated last year
- A list of Graph Causal Learning materials.☆184Updated 7 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆77Updated 2 years ago
- ☆51Updated 3 years ago
- The source code of HeCo☆158Updated 2 years ago