jianxiangyu / MEOWLinks
☆32Updated last year
Alternatives and similar repositories for MEOW
Users that are interested in MEOW are comparing it to the libraries listed below
Sorting:
- ☆62Updated 3 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- The source code of SpCo☆34Updated 2 years ago
- ☆26Updated 2 years ago
- ☆124Updated 2 years ago
- ☆58Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆35Updated 11 months ago
- Benchmark☆109Updated last year
- A Survey of Learning from Graphs with Heterophily☆154Updated 10 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆91Updated 2 years ago
- ☆34Updated 2 years ago
- ☆186Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆257Updated 8 months ago
- ☆26Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆44Updated last year
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 10 months ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 11 months ago
- The source code of HeCo☆170Updated 3 years ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆27Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆48Updated last year
- [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"☆124Updated last year
- ☆24Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆239Updated last year
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆196Updated 2 years ago
- NeurIPS 2022 - SHGP☆32Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- KDD'22☆64Updated 3 years ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆49Updated 6 months ago