GhazalehNiknam / DyVGRNN
☆10Updated last year
Alternatives and similar repositories for DyVGRNN:
Users that are interested in DyVGRNN are comparing it to the libraries listed below
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆36Updated 8 months ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆44Updated last year
- ☆12Updated 10 months ago
- ☆21Updated 7 months ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆12Updated last year
- This is the official code-repository of the paper Semi-Supervised Deep Learning for Multiplex Networks published in KDD'21.☆9Updated 3 years ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated last year
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆29Updated last year
- ☆77Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆15Updated 9 months ago
- ☆37Updated 3 years ago
- ☆28Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated last year
- ☆18Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆37Updated last year
- ☆39Updated 3 years ago
- ☆13Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆47Updated 3 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆34Updated 8 months ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆19Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆42Updated last month
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆25Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆26Updated 3 years ago
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Updated 2 years ago
- The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cyberne…☆18Updated 2 years ago
- ☆19Updated 9 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year