wondergo2017 / DIDA
Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
☆17Updated 2 years ago
Alternatives and similar repositories for DIDA:
Users that are interested in DIDA are comparing it to the libraries listed below
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- ☆12Updated 10 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆32Updated 2 years ago
- ☆13Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆53Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- A curated list of papers on graph transfer learning (GTL).☆15Updated last year
- A pytorch implementation of graph transformer for node classification☆29Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆24Updated 5 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆19Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Pytorch implementation of EvenNet.☆19Updated 2 years ago
- ☆38Updated last year
- Code for GBK-GNN (paper accepted by WWW2022)☆15Updated 2 years ago
- TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"☆15Updated 2 months ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆66Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 2 months ago
- New structural distributional shifts for evaluating graph models☆14Updated last year
- ☆23Updated 2 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆12Updated last year
- ☆18Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 2 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated 3 weeks ago
- AAAI 2024 Accept☆15Updated 8 months ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated last week
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆77Updated last month
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆12Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year