FIB LAB, Tsinghua University

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

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The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

tsinghua-fib-lab

An index of causal inference based recommendation algorithms.

tsinghua-fib-lab

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

tsinghua-fib-lab

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

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Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

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A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

tsinghua-fib-lab

The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques

tsinghua-fib-lab

The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"

tsinghua-fib-lab