CrawlScript / RpHGNNLinks
Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"
☆97Updated last year
Alternatives and similar repositories for RpHGNN
Users that are interested in RpHGNN are comparing it to the libraries listed below
Sorting:
- Source code and dataset of the paper "Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation",…☆49Updated 7 months ago
- Source code (PyTorch) and dataset of the paper "MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering"☆36Updated 7 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated last year
- The source code of SpCo☆34Updated 2 years ago
- ☆34Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆46Updated last year
- A Survey of Learning from Graphs with Heterophily☆154Updated 9 months ago
- ☆186Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆89Updated 2 years ago
- ☆124Updated 2 years ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆163Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- Adapting Precomputed Features for Efficient Graph Condensation (ICML 2025)☆47Updated 5 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆256Updated 8 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- Deep Graph Outlier Detection☆67Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- A list of recent papers about Link Prediction.☆116Updated last week
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- The source code of HeCo☆170Updated 3 years ago
- ☆38Updated 4 years ago
- ☆61Updated 3 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆239Updated last year
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆24Updated 2 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆62Updated 9 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆122Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆228Updated 3 weeks ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago