[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
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Updated
Aug 9, 2024
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
Representation learning on dynamic graphs using self-attention networks
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Variational Graph Recurrent Neural Networks - PyTorch
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
A paper list of research about social knowledge graph
[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 Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021).
Implementation codes for KDD24 paper "LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?"
[CVPR'25 Highlight] The official implementation of "GG-SSMs: Graph-Generating State Space Models"
Source code of "RapidFlow: An Efficient Approach to Continuous Subgraph Matching" published in VLDB'2022 - By Shixuan Sun, Xibo Sun, Bingsheng He and Qiong Luo
Anomaly Detection in Dynamic Graphs
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
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