PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
☆26Nov 3, 2020Updated 5 years ago
Alternatives and similar repositories for GBP
Users that are interested in GBP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- fast randomized PCA for sparse data☆14Mar 14, 2023Updated 3 years ago
- ☆15May 11, 2020Updated 6 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Mar 21, 2022Updated 4 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆128Apr 5, 2022Updated 4 years ago
- Measuring generalization properties of graph neural networks☆15Aug 11, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆19Jan 13, 2021Updated 5 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Jun 7, 2022Updated 4 years ago
- Recent papers on Graph Neural Networks-based Recommender System.☆12Aug 21, 2023Updated 2 years ago
- Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"☆20Aug 29, 2024Updated last year
- ☆137Aug 14, 2023Updated 2 years ago
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Jul 18, 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
- Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian …☆10May 30, 2021Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆323Dec 9, 2024Updated last year
- 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.
- ☆41Jan 11, 2021Updated 5 years ago
- SIGN: Scalable Inception Graph Network☆94Nov 3, 2020Updated 5 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 4 years ago
- SCAN: A Structural Clustering Algorithm for Networks python implementation☆12Jun 11, 2015Updated 11 years ago
- The code of APP, Scalable Graph Embedding for Asymmetric Proximity. Zhou, Chang and Liu, Yuqiong and Liu, Xiaofei and Liu, Zhongyi and Ga…☆11Nov 11, 2018Updated 7 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated last year
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization☆133May 5, 2022Updated 4 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Dec 9, 2021Updated 4 years ago
- ☆12Oct 19, 2020Updated 5 years 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.
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆63Mar 8, 2023Updated 3 years ago
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆32Jan 15, 2021Updated 5 years ago
- Official code of GIND (Optimization-Induced Graph Implicit Nonlinear Diffusion)☆18Jun 29, 2022Updated 4 years ago
- ☆15Jun 14, 2022Updated 4 years ago
- Realizing DTINet with python☆27May 11, 2018Updated 8 years ago
- My solution code to parallel architecture and programming Spring 2016☆12Aug 15, 2016Updated 9 years ago
- ☆12Mar 14, 2024Updated 2 years ago
- Code for the paper "Balancing Consistency and Disparity in Network Alignment"