hongyuanmei / nce-mpp
Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
☆15Updated 3 years ago
Related projects: ⓘ
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆34Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Variational Graph Convolutional Networks☆20Updated 3 years ago
- ☆29Updated 2 years ago
- ☆35Updated 5 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆28Updated 3 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated last year
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- ☆30Updated last year
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Updated 9 months ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”☆15Updated 5 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- ☆12Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆44Updated 3 years ago
- The AutoPath pipeline for similarity modeling on heterogeneous networks with automatic path discovery☆11Updated 5 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- ☆25Updated 2 years ago
- ☆44Updated 4 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆23Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆41Updated 2 years ago
- ☆20Updated last year
- ☆12Updated 4 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35Updated 4 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆48Updated 4 years ago
- Code for reproducing results in GraphMix paper☆71Updated last year
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆11Updated 2 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated 9 months ago