lgalke / gnn-pretraining-evaluation
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
☆20Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for gnn-pretraining-evaluation
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 3 months ago
- tNodeEmbed☆75Updated last year
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- A tensorflow implementation of GCN-LPA☆98Updated 4 years ago
- ☆61Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆131Updated 4 years ago
- Multi-relational Poincaré Graph Embeddings☆158Updated 5 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆81Updated 6 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated last year
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆44Updated last year
- Daily reading group on graphs at KEG☆44Updated 5 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Distance Encoding for GNN Design☆183Updated 3 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Semi-supervised User Geolocation via Graph Convolutional Networks☆66Updated 3 years ago
- Learning to query complex networks☆116Updated 5 months ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆99Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆111Updated 4 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆92Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆70Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆75Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 3 years ago
- Implement of DiGCN, NeurIPS-2020☆45Updated 3 years ago
- Hyperbolic Graph Neural Networks☆227Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago