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agcrn

Adaptive Graph Convolutional Recurrent Network

astgnn

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

attention-learn-to-route

Attention based model for learning to solve different routing problems

audio-enhancement-via-onmf

audio-snr

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

cal

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by YongduoSui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua

calculate-snr-sdr

Script to calculate SNR and SDR using python

caseq

The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS22.

causal-inference-via-style-transfer-for-ood-generalisation

Here is the codebase for our accepted paper in the Research Track of KDD'23 on 'Causal-Inference-via-Style-Transfer-for-OOD-Generalisation'.

causality-inspired-gnns

causaltransformer

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

cchmm

This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"

cevae_pytorch

cfrnet

Counterfactual Regression

cfrnet-reproduction

Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.

chatpaper

Use ChatGPT to summarize the arXiv papers.

club

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

congestion_propagation_inference

congestionpropagation

Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data

counterfactual-recurrent-network

Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar

deepextrememixturemodel

Official code release for Deep Extreme Mixture Model by Wilson, McDonald, Galib, Tan, and Luo.

dida

Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"

dir-gnn

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)

disc

NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

dl-traff-graph

[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)

dl-traff-grid

[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)

eco-dqn

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

graphood-eerm

guidednmf

[Paper] Repository for the paper "On a Guided Nonnegative matrix factorization," a method for guiding the formation of topics using seed words.

halueval

This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.