ZhuangDingyi / graph-network-paper-list
Summarize interesting graph network papers. Classified by methods and sorted by years.
☆48Updated 4 years ago
Related projects: ⓘ
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆103Updated last month
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- A pytorch implemention of GCN-GAN for temporal link prediction.☆99Updated 5 years ago
- The source code of kdd2019 project☆24Updated 3 years ago
- Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)☆93Updated last year
- Btech S8 Main Project☆24Updated 5 years ago
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- Codes for WWW'19 Paper-DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data☆40Updated 3 months ago
- Attentive Traffic Flow Machines☆56Updated 3 years ago
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- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆83Updated 2 years ago
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 5 years ago
- Tutorial for Graph AutoEncoder implemented by TensorFlow 1.x and 2.x☆40Updated 3 years ago
- GraphEmbedding and Graph Neural Network☆21Updated 3 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆23Updated last year
- Representation Learning on Graphs with Jumping Knowledge Networks☆37Updated 5 years ago
- ☆51Updated 3 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆137Updated 5 years ago
- A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data☆16Updated 2 years ago
- ☆16Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆99Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆34Updated 4 months ago
- ☆51Updated 5 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆69Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆80Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆90Updated last year
- ☆47Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆112Updated 2 years ago
- ☆24Updated this week