jiongqian / MILELinks
MILE: A Multi-Level Framework for Scalable Graph Embedding
☆15Updated 5 years ago
Alternatives and similar repositories for MILE
Users that are interested in MILE are comparing it to the libraries listed below
Sorting:
- ☆78Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- ☆29Updated 4 years ago
- The source code of HeCo☆170Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD2020☆30Updated 4 years ago
- ☆139Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- source code for IJCAI 2019 paper "Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks"☆49Updated 5 years ago
- ☆38Updated 4 years ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆21Updated last year
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Parameterized Explainer for Graph Neural Network☆141Updated last year
- Graph Clustering with Embedding Propagation☆16Updated 6 years ago
- The source code of SpCo☆34Updated 2 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆48Updated 6 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- ☆57Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 4 months ago
- This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020)…☆18Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- A collection of graph classification methods☆42Updated 5 years ago
- Algorithms for online influence maximization☆23Updated 8 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 6 months ago
- ☆47Updated 5 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago