cmavro / GRADLinks
[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
☆30Updated 2 years ago
Alternatives and similar repositories for GRAD
Users that are interested in GRAD are comparing it to the libraries listed below
Sorting:
- ☆96Updated 2 years ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆50Updated 3 months ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆145Updated 7 months ago
- A curated list of papers and resources about multimodal learning on graphs.☆35Updated 6 months ago
- Official Repo of SimTeG☆42Updated last year
- ☆90Updated last year
- ☆129Updated 5 months ago
- ☆38Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆131Updated last year
- ☆33Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆46Updated 2 years ago
- Generative Pre-trained Graph Eulerian Transformer [ICML2025]☆89Updated last month
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆73Updated 3 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆63Updated 4 months ago
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆304Updated 5 months ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆57Updated 8 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆102Updated last year
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆46Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- ☆29Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆241Updated 4 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆227Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- Accompanied repositories for our paper Graph foundation model☆217Updated 9 months ago
- List of papers on ICML2023.☆55Updated 2 years ago
- Official implementation of A* Networks☆147Updated 2 years ago