111 citations · 294 across the 18 of their papers we have counts for
19 papers
A Graph Dynamics Prior for Relational Inference
Liming Pan, Cheng Shi, Ivan Dokmanić
Relational inference aims to identify interactions between parts of a dynamical system from the observed dynamics. Current state-of-the-art methods fit the dynamics with a graph ne…
Homophily modulates double descent generalization in graph convolution networks
Cheng Shi, Liming Pan, Hong Hu +1
Graph neural networks (GNNs) excel in modeling relational data such as biological, social, and transportation networks, but the underpinnings of their success are not well understo…
Personalized recommendation system based on social relationships and historical behaviors
Yan-Li Lee, Tao Zhou, Kexin Yang +2
Previous studies show that recommendation algorithms based on historical behaviors of users can provide satisfactory recommendation performance. Many of these algorithms pay attent…
Neural Link Prediction with Walk Pooling
Liming Pan, Cheng Shi, Ivan Dokmanić
Graph neural networks achieve high accuracy in link prediction by jointly leveraging graph topology and node attributes. Topology, however, is represented indirectly; state-of-the-…
Competing spreading dynamics in simplicial complex
Wenyao Li, Xiaoyu Xue, Liming Pan +2
Interactions in biology and social systems are not restricted to pairwise but can take arbitrary sizes. Extensive studies have revealed that the arbitrary-sized interactions signif…
Predicting hyperlinks via hypernetwork loop structure
Liming Pan, Hui-Juan Shang, Peiyan Li +3
While links in simple networks describe pairwise interactions between nodes, it is necessary to incorporate hypernetworks for modeling complex systems with arbitrary-sized interact…