KimMeen / Neural-Temporal-Walks
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
☆52Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Neural-Temporal-Walks
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆51Updated 10 months ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆31Updated 2 years ago
- ☆75Updated 2 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆41Updated 2 years ago
- A pytorch implementation of graph transformer for node classification☆29Updated last year
- Tail-GNN: Tail-Node Graph Neural Networks☆33Updated 3 years ago
- NeurIPS 2022 - SHGP☆29Updated last year
- ☆55Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆28Updated 3 weeks ago
- ☆12Updated 8 months ago
- ☆22Updated 6 months ago
- The source code of SpCo☆34Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Updated last year
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆44Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆51Updated last month
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆65Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆44Updated 10 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆54Updated last year
- ☆18Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆13Updated 9 months ago
- ☆24Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆35Updated last year
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- Dynamic Graph Benchmark☆68Updated last year