dongkwan-kim / TGAT-REF
Reference implementation of TGAT: Inductive Representation Learning on Temporal Graphs (ICLR 2020)
☆18Updated 3 years ago
Alternatives and similar repositories for TGAT-REF:
Users that are interested in TGAT-REF are comparing it to the libraries listed below
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- ☆61Updated 2 years ago
- ☆76Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated last year
- HDGI code☆61Updated 5 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- DyHATR (ECML-PKDD 2020)☆44Updated 4 years ago
- PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"☆102Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆79Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆34Updated 2 years ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆27Updated 3 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆45Updated 6 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 5 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 7 months ago
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆30Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 3 years ago
- ☆60Updated 4 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 4 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- Dynamic graph/network dataset for dynamic graph/network embedding/representation☆36Updated 5 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 3 years ago
- ☆33Updated 5 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated 2 years ago
- A collection of graph data used for semi-supervised node classification.☆39Updated 2 years ago