MGitHubL / Data4TGCLinks
☆17Updated 7 months ago
Alternatives and similar repositories for Data4TGC
Users that are interested in Data4TGC are comparing it to the libraries listed below
Sorting:
- ☆13Updated 10 months ago
- ☆18Updated 4 months ago
- An Empirical Evaluation of Temporal Graph Benchmark☆33Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆32Updated 7 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆70Updated 2 weeks ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 3 months ago
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- On Generalized Degree Fairness in Graph Neural Networks☆9Updated 2 years ago
- ☆46Updated 9 months ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆22Updated last year
- ☆29Updated 6 months ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 5 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆82Updated 6 months ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated 11 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 7 months ago
- Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"☆29Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆29Updated 9 months ago
- ☆33Updated 2 years ago
- ☆48Updated 2 years ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆20Updated 6 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆44Updated 6 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆42Updated 3 weeks ago
- [Neurips 2024] Disentangled Graph Homophily☆25Updated 4 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago