News

[Mar 2022] At Katana Graph, we have developed a simple graph neural network (gnn) based AI model SimGCN that is dominating the leaderboards at TDC ADMET Benchmark Group! Check out our report and Github repo.

[Feb 2022] Excited to serve on the program committee of ACM FAccT Conference 2022.

[Jan 2022] Two papers accepted at the Web Conference! Details to be updated soon.

[Nov 2021] Our paper titled Counting Subgraphs in Degenerate Graphs has been accepted for publications at the Journal of the ACM! Arxiv preprint will be posted soon.

[Oct 2021] Serving on the program committee of The Web Conference 2022.

[June 2021] Excited to join the Graph AI team at Katana Graph, a start-up that is providing a distributed scalable graph intelligence platform!

[Feb 2021] Serving on the program committee of The International Conference on Database Theory (ICDT).

[Jan 2021] Attend the talk on our paper titled Near-Linear Time Homomorphism Counting in Bounded Degeneracy Graphs: The Barrier of Long Induced Cycles at SODA 2021. Details here.

[Oct 2020] Our paper titled Near-Linear Time Homomorphism Counting in Bounded Degeneracy Graphs: The Barrier of Long Induced Cycles has been accepted for publications at SODA 2021! Arxiv Preprint is now available!

[Oct 2020] Serving on the program committee of The Web Conference 2021.

[June 2020] New paper at KDD! Our paper titled How to Count Triangles, without Seeing the Whole Graph has ben accepted for publications at KDD 2020! Arxiv Preprint is now available!