IBM / EvolveGCNLinks
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
☆574Updated 3 years ago
Alternatives and similar repositories for EvolveGCN
Users that are interested in EvolveGCN are comparing it to the libraries listed below
Sorting:
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- ☆328Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆660Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆859Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆426Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆493Updated 3 years ago
- ☆352Updated 5 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆647Updated 2 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆398Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆480Updated 6 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆446Updated last year
- TGN: Temporal Graph Networks☆1,093Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆353Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Graph Auto-Encoder in PyTorch☆439Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆414Updated 3 years ago
- code of HetGNN☆413Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆247Updated 5 years ago
- gnn explainer☆989Updated last year
- Heterogeneous Graph Neural Network☆1,158Updated 5 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 3 years ago
- ☆300Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆497Updated last year
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆332Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆636Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,043Updated 2 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆269Updated 2 years ago