pmernyei / wiki-cs-dataset
Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
☆55Updated 3 years ago
Alternatives and similar repositories for wiki-cs-dataset:
Users that are interested in wiki-cs-dataset are comparing it to the libraries listed below
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆84Updated 3 years ago
- ☆30Updated 2 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Scalable Graph Neural Networks for Heterogeneous Graphs☆71Updated 4 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- tNodeEmbed☆79Updated 2 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆83Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆73Updated 2 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 4 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 3 years ago
- Dynamic Graph Benchmark☆77Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆68Updated 2 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated last week
- Subgraph Based Learning of Contextual Embedding☆29Updated 3 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆121Updated 8 months ago