Thinklab-SJTU / DP3Links
Deep Point Process by PyTorch
☆28Updated 4 years ago
Alternatives and similar repositories for DP3
Users that are interested in DP3 are comparing it to the libraries listed below
Sorting:
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆123Updated 6 years ago
- ☆16Updated 6 years ago
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 3 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 10 months ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 years ago
- ☆35Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- ☆67Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- ☆53Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- ☆10Updated 3 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆90Updated 5 years ago
- Graph convolutional recurrent neural network☆181Updated 7 years ago
- Learning To Stop While Learning To Predict☆34Updated 2 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆15Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago