PeterGriffinJin / EdgeformersLinks
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)
☆69Updated 2 years ago
Alternatives and similar repositories for Edgeformers
Users that are interested in Edgeformers are comparing it to the libraries listed below
Sorting:
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆75Updated 3 years ago
- Official Repo of SimTeG☆42Updated last year
- A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf☆79Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆61Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- ☆33Updated last year
- ☆126Updated 2 years ago
- ☆129Updated 6 months ago
- ☆35Updated 2 years ago
- ☆99Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- ☆90Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆133Updated last year
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆35Updated last year
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆31Updated 8 months ago
- Subgraph Based Learning of Contextual Embedding☆29Updated 3 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆53Updated 7 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆160Updated 11 months ago
- GraphLLM: Boosting Graph Reasoning Ability of Large Language Model☆114Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆94Updated 11 months ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆22Updated 2 years ago
- A generative one-for-all model for joint graph language modeling☆45Updated 3 months ago
- Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)☆137Updated last year
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Updated last year
- ☆39Updated 2 years ago
- Official implementation of A* Networks☆149Updated 2 years ago
- Official implementation of Graph Neural Network Query Executor (ICML 2022)☆89Updated 2 years ago