epfl-lts2 / GraphMining-TheWebConf2021Links
☆14Updated 4 years ago
Alternatives and similar repositories for GraphMining-TheWebConf2021
Users that are interested in GraphMining-TheWebConf2021 are comparing it to the libraries listed below
Sorting:
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆60Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆60Updated 3 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- ☆21Updated 4 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- ☆30Updated 3 years ago
- ☆50Updated 2 years ago
- ☆172Updated 5 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- tNodeEmbed☆79Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- ☆60Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Python wrapper for LibRec and other recommendation frameworks.☆29Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Implements the bigCLAM algorithm☆51Updated 5 years ago
- ☆21Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago