dynamic-graph

An Industrial Graph Neural Network Framework

[TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.

High-performance C++20 + Python engine for dynamic and incremental graph analytics on evolving graphs — BFS, SSSP, connected components, triangles, k-core and PageRank.

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction

A curated list of graph datasets of various types, including plaingraphs, attributed graphs, bipartite graphs, text-attributed graphs, multi-modal graphs, temporal graphs, etc.

Everything Evolves in Personalized PageRank, WWW 2023

Papers related with dynamic/time-series graph

A UNIFIED SPATIOTEMPORAL FREQUENCY GRAPH NEURAL NETWORK FOR FMRI-BASED BRAIN FUNCTIONAL CONNECTIVITY ANALYSIS

Dependency-free Go shortest-path library: Dijkstra + goal-directed A* on a named directed graph. Built-in Euclidean heuristic, one-way edges, dynamic vertex blocking. Go 1.18+.

GGames is a Python package that provides functions to study games on graphs that can be either static or time-varying.

Dynamic Graph Visualization for React Native: Effortlessly create and interact with graph structures in your mobile apps

DELTA: incremental cycle maintenance for DEX token graphs, with offline replay, read-only Ethereum RPC data capture, and reproducible correctness tests.