wwbrannon / congrat
Code for the paper "ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings" -- TextGraphs-17 @ ACL 2024
☆21Updated 7 months ago
Alternatives and similar repositories for congrat:
Users that are interested in congrat are comparing it to the libraries listed below
- Official Repo of SimTeG☆41Updated last year
- ☆125Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆42Updated 3 months ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆16Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆40Updated 3 weeks ago
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆31Updated 2 months ago
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆26Updated 11 months ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆24Updated last month
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆50Updated 3 months ago
- ☆27Updated 3 years ago
- ☆19Updated 2 years ago
- ☆20Updated last year
- Benchmark☆95Updated 11 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆74Updated last year
- Codes for Pretraining Language Models with Text-Attributed Heterogeneous Graphs☆12Updated last year
- ☆26Updated last year
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆66Updated 2 years ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 2 months ago
- ☆42Updated 7 months ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- ☆23Updated 10 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- Code and data for the KDD 2023 paper "Predicting Information Pathways Across Online Communities."☆22Updated 3 months ago
- A generative one-for-all model for joint graph language modeling☆26Updated last month
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 5 months ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆25Updated 8 months ago
- [CIKM2024] Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering☆31Updated 2 months ago
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆29Updated last month
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago