TUM-DAML / pprgo_tensorflowLinks
PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
☆36Updated 3 years ago
Alternatives and similar repositories for pprgo_tensorflow
Users that are interested in pprgo_tensorflow are comparing it to the libraries listed below
Sorting:
- NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization☆132Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 4 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆186Updated 5 years ago
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 4 years ago
- ☆172Updated 5 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 5 years ago
- ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)☆86Updated 2 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems☆110Updated 5 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…☆33Updated 4 years ago
- ☆83Updated 6 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 2 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Heterogeneous information network representation learning☆162Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆175Updated 2 years ago
- Implementation of the CTDNE algorithm.☆20Updated 6 years ago
- Tutorials about AutoML☆86Updated 3 years ago
- Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data☆54Updated 6 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- embedding attributed graphs☆57Updated 3 years ago
- Implementation of the RecWalk recommendation algorithm☆25Updated 3 months ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆159Updated last year
- weighted random walk implementation for deepwalk (in python)☆85Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆84Updated last year