MassimoPerini / online-gnn-learningLinks
☆13Updated 3 years ago
Alternatives and similar repositories for online-gnn-learning
Users that are interested in online-gnn-learning are comparing it to the libraries listed below
Sorting:
- ☆210Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- Temporal Graph Benchmark project repo☆229Updated last month
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆92Updated 9 months ago
- ☆75Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆84Updated last month
- TGB baselines for dynamic link property prediction☆23Updated 6 months ago
- ☆135Updated last year
- ☆19Updated 3 years ago
- ☆60Updated 2 years ago
- ☆101Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 3 years ago
- ☆40Updated 11 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 5 months ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- ☆138Updated last year
- ☆19Updated 2 years ago
- Code and data for the KDD 2023 paper "Predicting Information Pathways Across Online Communities."☆23Updated 6 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆154Updated last year
- ☆21Updated last year
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Updated last year
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆140Updated 8 months ago
- ☆13Updated last year