yuwvandy / Large-Graph-Generative-ModelLinks
☆29Updated last year
Alternatives and similar repositories for Large-Graph-Generative-Model
Users that are interested in Large-Graph-Generative-Model are comparing it to the libraries listed below
Sorting:
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆65Updated 8 months ago
- ☆39Updated 2 years ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆149Updated 11 months ago
- ☆91Updated 2 years ago
- Multimodal Graph Learning: how to encode multiple multimodal neighbors with their relations into LLMs☆67Updated last year
- ☆101Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆148Updated last year
- A curated list of papers and resources about multimodal learning on graphs.☆40Updated 10 months ago
- ☆34Updated 2 years ago
- Generative Pre-trained Graph Eulerian Transformer [ICML2025]☆99Updated 3 weeks ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆23Updated 2 years ago
- Graph Transformers for Large Graphs☆22Updated last year
- [EMNLP 2024] HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs☆22Updated 9 months ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆57Updated 7 months ago
- [ICLR 2025] Implementation of "Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning"☆13Updated 7 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆75Updated 3 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- Graph Positional and Structural Encoder☆54Updated 11 months ago
- Exphormer: Sparse Transformer for Graphs☆187Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- List of papers on ICML2023.☆56Updated 2 years ago
- Official Repo of SimTeG☆43Updated last year
- ☆82Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆19Updated 6 months ago