[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.
☆22Jun 4, 2025Updated 10 months ago
Alternatives and similar repositories for Data-Centric-Transfer
Users that are interested in Data-Centric-Transfer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Mar 27, 2025Updated last year
- Source code for AAAI2023 "T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillatio…☆15Feb 10, 2023Updated 3 years ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆15Mar 10, 2023Updated 3 years ago
- [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"☆22Jun 21, 2025Updated 10 months ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Directional diffusion models☆43Oct 31, 2024Updated last year
- Code for WWW'26 paper: Hi-GMAE: Hierarchical Graph Masked Autoencoders☆12Feb 8, 2025Updated last year
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆18Feb 28, 2023Updated 3 years ago
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆35Mar 29, 2024Updated 2 years ago
- ☆17Mar 14, 2024Updated 2 years ago
- Code and data for NAACL 2025 paper "IHEval: Evaluating Language Models on Following the Instruction Hierarchy"☆17Feb 25, 2025Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆28Jul 17, 2025Updated 9 months ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Mar 14, 2025Updated last year
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆15Nov 26, 2025Updated 5 months 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.
- Python package for InfoAlign☆13Oct 14, 2024Updated last year
- Code for paper: "Removing Biases from Molecular Representations via Information Maximization"☆21Apr 4, 2024Updated 2 years ago
- GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1…☆47Jul 27, 2023Updated 2 years ago
- ☆23Mar 30, 2023Updated 3 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Aug 12, 2021Updated 4 years ago
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆51Dec 10, 2024Updated last year
- [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"☆12Aug 25, 2021Updated 4 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Influence Maximization in Hypergraphs based on Evolutionary Deep Reinforcement Learning☆10Jan 27, 2024Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Mar 12, 2024Updated 2 years ago
- Template for project development.☆14Apr 20, 2026Updated last week
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆66Feb 22, 2024Updated 2 years ago
- ☆92Oct 23, 2023Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Jul 25, 2022Updated 3 years ago
- Catching Synchronized Behavior in Large Directed Graphs (KDD 2014)☆22Mar 27, 2015Updated 11 years ago
- ☆16Feb 26, 2023Updated 3 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11May 10, 2024Updated last year
- ☆20Oct 5, 2023Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆41Mar 16, 2024Updated 2 years ago
- Repository for AAAI 2024 paper "MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts"☆23Apr 20, 2024Updated 2 years ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Apr 28, 2023Updated 3 years ago
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆32Jun 24, 2025Updated 10 months ago
- Explainable Substructure Partition Fingerprint for Protein, Drug, and More (NeurIPS 19 LMRL Workshop)☆18Oct 30, 2019Updated 6 years ago