Starlien95 / HGPromptLinks
☆18Updated last year
Alternatives and similar repositories for HGPrompt
Users that are interested in HGPrompt are comparing it to the libraries listed below
Sorting:
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆23Updated last year
- On Generalized Degree Fairness in Graph Neural Networks☆9Updated 2 years ago
- ☆24Updated 9 months ago
- ☆19Updated 6 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆26Updated last year
- ☆25Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆33Updated last year
- A Survey of Learning from Graphs with Heterophily☆144Updated 4 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 8 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆32Updated 11 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 6 months ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated 2 years ago
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- ☆47Updated 11 months ago
- ☆20Updated last year
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆37Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- [Neurips 2024] Disentangled Graph Homophily☆26Updated 5 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆44Updated 2 weeks ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆45Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆34Updated 2 months ago
- ☆33Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆35Updated 8 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- ☆33Updated 7 months ago
- Benchmark☆101Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 4 months ago