nghiahhnguyen / CS224W-StanfordLinks
This is the repository containing the solution of the homework for the CS224W course at Stanford: Machine Learning with Graphs
☆11Updated 5 years ago
Alternatives and similar repositories for CS224W-Stanford
Users that are interested in CS224W-Stanford are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 4 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆62Updated 3 years ago
- ☆138Updated 4 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 6 months ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 2 years ago
- HDGI code☆62Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆95Updated 2 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆114Updated 3 years ago
- ☆139Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- A Broader Picture of Random-walk Based Graph Embedding☆30Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆47Updated 6 years ago
- ☆19Updated 3 years ago