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University of Oxford
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[IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
A Library for Dynamic Graph Learning (NeurIPS 2023)
We present a temporal optimal link prediction method that is based on the stacking link prediction method.
GraphMineSuite (GMS): a benchmarking suite for graph mining algorithms such as graph pattern matching or graph learning
Aniq55 / tgn
Forked from twitter-research/tgnTGN: Temporal Graph Networks
Reference implementation of TGAT: Inductive Representation Learning on Temporal Graphs (ICLR 2020)
ETNgen: A temporal graph generator based on Egocentric Temporal Motifs
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Predict…
This is a course project for Point Process Modeling(CS488).
This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).
(Pytorch ver) Code for "Fully Neural Network based Model for General Temporal Point Process"
Hydra is a framework for elegantly configuring complex applications
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Code and datasets of AAAI'22 paper "TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs" . To be appear in AAAI-2022
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
Benchmark datasets, data loaders, and evaluators for graph machine learning
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch