[ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"
☆34Nov 10, 2023Updated 2 years ago
Alternatives and similar repositories for MC-GRA
Users that are interested in MC-GRA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆22Nov 10, 2023Updated 2 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- translation of VHL repo in paddle☆25Jun 28, 2023Updated 2 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- ☆24Jun 28, 2023Updated 2 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.
- 👋 Lab assignments for Introduction Course of Dian AI Group.☆21Jan 26, 2022Updated 4 years ago
- [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"☆175Feb 20, 2024Updated 2 years ago
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆221Apr 3, 2026Updated 2 months ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Sep 11, 2025Updated 9 months ago
- This is the official repository for our NeurIPS'22 paper "Watermarking for Out-of-distribution Detection."☆18Feb 24, 2023Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Jul 7, 2023Updated 2 years ago
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆11Nov 15, 2024Updated last year
- ☆10Jun 11, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆12Jul 17, 2023Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning" (ACL 2022 long paper)☆19May 23, 2022Updated 4 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 3 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 4 years ago
- A curated list of resources for graph prompting methods☆29Jan 23, 2024Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Jan 26, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection☆12Oct 12, 2022Updated 3 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 2 years ago
- This is a repository for paper titled, PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Plann…☆14Nov 3, 2023Updated 2 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"☆20Aug 14, 2024Updated last year
- [ICLR 2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆57Feb 4, 2026Updated 4 months ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 5 months ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- Codebase for the EMNLP 2021 paper "HittER: Hierarchical Transformers for Knowledge Graph Embeddings".☆12Nov 1, 2021Updated 4 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.
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆21May 29, 2022Updated 4 years ago
- Dataset Pinocchio for paper "Towards Understanding Factual Knowledge of Large Language Models" accepted by ICLR 2024 (Spotlight)☆12Mar 13, 2024Updated 2 years ago
- [ICLR 2026] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"☆60May 21, 2026Updated 3 weeks ago
- ☆16May 25, 2022Updated 4 years ago
- ☆11Mar 20, 2023Updated 3 years ago
- Graph Neural Convection-Diffusion with Heterophily☆11May 29, 2023Updated 3 years ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆23Jul 25, 2022Updated 3 years ago