☆10Mar 23, 2025Updated last year
Alternatives and similar repositories for ScaleGUN
Users that are interested in ScaleGUN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆12Oct 14, 2023Updated 2 years ago
- ☆14Dec 5, 2024Updated last year
- ☆15Aug 27, 2023Updated 3 years ago
- Data Augmentation on Graphs: A Technical Survey☆15Feb 12, 2023Updated 3 years ago
- ☆15Nov 3, 2022Updated 3 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.
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- ☆14Jun 18, 2025Updated last year
- ☆10Aug 13, 2021Updated 5 years ago
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆27Jul 20, 2024Updated 2 years ago
- ☆33Dec 17, 2025Updated 9 months ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆55Jul 24, 2025Updated last year
- ☆11Dec 22, 2024Updated last year
- ☆19Jun 30, 2025Updated last year
- An optimized Merkle Patricia Trie implementation on GPU, fully compatible with and integrable into Ethereum. The paper is published on VL…☆14Apr 15, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11Jun 6, 2023Updated 3 years ago
- Code to generate figures of paper "When do spectral gradient updates help in deep learning?"☆17Dec 3, 2025Updated 10 months ago
- Test for Graph Unlearning Benchmark☆22Jul 12, 2025Updated last year
- Official github page for the paper "Evaluating Deep Unlearning in Large Language Model"☆14Apr 25, 2025Updated last year
- ICLR Blog Track 2025☆21Updated this week
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆50Jul 3, 2023Updated 3 years ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆34Feb 10, 2026Updated 8 months ago
- ECNU ICA seminar materials☆14Nov 23, 2022Updated 3 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.
- C语言和C++的重要概念☆14Dec 27, 2021Updated 4 years ago
- 这是一个云南大学课程资源共享仓库，内容包括但不限于：平时作业答案、历年试卷、复习资料、选课攻略。☆19May 22, 2020Updated 6 years ago
- ☆27Oct 16, 2022Updated 3 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Feb 17, 2023Updated 3 years ago
- [WWW2026] The official code for paper "Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders"☆23Jan 23, 2026Updated 8 months ago
- Personalized Image Generation with Large Multimodal Models☆17May 13, 2025Updated last year
- PyTorch implementation of AmalgamateGNN (CVPR'21)☆21Jul 29, 2022Updated 4 years ago
- "A Spatial Target Function for Metropolis Photon Tracing", ACM TOG, Code repository☆20Apr 24, 2023Updated 3 years ago
- A tool for the perception of chemical bonds via machine learning☆10Nov 15, 2025Updated 10 months 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.
- Reconsidering the Performance of GAE in Link Prediction☆17Jan 12, 2026Updated 8 months ago
- Learning Tree structures and Tree metrics☆24Aug 8, 2024Updated 2 years ago
- Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)☆18Oct 10, 2022Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆67Jun 23, 2023Updated 3 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated 2 years ago
- Official implementation of the paper "GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks".☆14Apr 1, 2025Updated last year
- ☆16Jul 15, 2025Updated last year