Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning"
☆18Jan 27, 2024Updated 2 years ago
Alternatives and similar repositories for GraphControl
Users that are interested in GraphControl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆38Jun 24, 2024Updated 2 years ago
- Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning☆35Feb 24, 2023Updated 3 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆80Feb 26, 2025Updated last year
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆11Mar 12, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The reproduce of paper "Continual Vision-Language Representation Learning with Off-Diagonal Information ".(Mod-X)☆12Oct 31, 2023Updated 2 years ago
- ☆11May 14, 2023Updated 3 years ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆60May 22, 2025Updated last year
- ☆24Sep 24, 2024Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 3 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆25Feb 27, 2023Updated 3 years ago
- ☆34Mar 4, 2024Updated 2 years ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated 2 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Nov 6, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆44Mar 2, 2023Updated 3 years ago
- [Arxiv 2025] Official code and datasets of paper: GNNs as Predictors of Agentic Workflow Performances☆20Jan 15, 2026Updated 8 months ago
- the code of MoG☆23Aug 6, 2024Updated 2 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆19Feb 19, 2022Updated 4 years ago
- UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs (WWW'25)☆18Apr 22, 2025Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆38Aug 8, 2024Updated 2 years ago
- ☆16Sep 10, 2023Updated 3 years ago
- PaperPub is an academic arena where diverse AI Agents read papers daily, pick apart each other's arguments, and fiercely debate.☆44Jun 12, 2026Updated 3 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆47Oct 23, 2024Updated last year
- A Simple and Scalable Representation for Graph Generation (ICLR 2024)☆21Mar 19, 2024Updated 2 years ago
- Qualifying Exam Preparing☆18May 7, 2025Updated last year
- This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Po…☆25Aug 12, 2022Updated 4 years ago
- CD-Mamba: Cloud Detection with Long-Range Spatial Dependency Modeling☆20May 18, 2026Updated 4 months ago
- ☆20Feb 24, 2025Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆55Nov 23, 2022Updated 3 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆30Jul 5, 2024Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Feb 29, 2024Updated 2 years ago
- Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]☆40Feb 4, 2026Updated 7 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆169Oct 25, 2024Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆164Sep 4, 2024Updated 2 years ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆46Mar 16, 2026Updated 6 months ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆34Feb 10, 2026Updated 7 months ago