fengwudi / DGNN_model_and_dataLinks
The link of DGNN's model and some datasets
☆24Updated 8 months ago
Alternatives and similar repositories for DGNN_model_and_data
Users that are interested in DGNN_model_and_data are comparing it to the libraries listed below
Sorting:
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆63Updated 2 years ago
- ☆64Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆281Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 8 months ago
- A Survey of Learning from Graphs with Heterophily☆154Updated 9 months ago
- ☆104Updated 2 years ago
- KDD'22☆64Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 7 months ago
- Papers about hypergraph, their applications, and even similar ideas.☆20Updated 4 years ago
- A curated list of papers on graph structure learning (GSL).☆51Updated 11 months ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆47Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- ☆124Updated 2 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆37Updated 2 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆15Updated 11 months ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆21Updated last year
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- ☆34Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆24Updated 3 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆58Updated 2 years ago
- A pytorch implementation of graph transformer for node classification☆33Updated 2 years ago
- ☆31Updated 2 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- ☆49Updated 2 years ago
- ☆17Updated 5 months ago
- ☆38Updated 4 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆71Updated 4 years ago