KimMeen / TGNLinks
A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637
☆16Updated 5 years ago
Alternatives and similar repositories for TGN
Users that are interested in TGN are comparing it to the libraries listed below
Sorting:
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Updated 3 years ago
- ☆17Updated 4 years ago
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆17Updated 2 years ago
- Short examples using the PyTorch Geometric Temporal library for temporal Graph Neural Networks (GNN).☆20Updated 3 years ago
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆15Updated 2 years ago
- ☆61Updated last year
- ☆59Updated 2 months ago
- Temporal Graph Analysis with TGX☆27Updated 6 months ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- ☆161Updated last year
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆15Updated 10 months ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆19Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 9 months ago
- Code for the paper "Higher-order motif analysis in hypergraphs"☆32Updated 3 years ago
- Code used in Tiukhova et al. (2022). Influencer Detection with Dynamic Graph Neural Networks. TGL@Neurips 2022.☆10Updated 2 years ago
- ☆19Updated last year
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆48Updated 2 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 2 years ago
- FastGCN in Matlab and companion codes for analysis of SGD with biased but consistent gradient estimators☆15Updated 6 years ago
- Correlated Graph Neural Networks☆27Updated 5 years ago
- ☆18Updated last year
- A Graph Structure Learning (GSL) Toolkit☆37Updated 3 years ago
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆18Updated 2 years ago
- Pytorch implementation of "Streaming Graph Neural Network" (not author just trying to reproduce the experiment results)☆22Updated 4 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆84Updated 2 years ago
- New Algorithms for Learning on Hypergraphs☆41Updated 3 years ago
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆32Updated last year
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 5 years ago
- ☆12Updated 9 months ago
- ☆47Updated 4 years ago