影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
18.79/100
前 44.4%
全站排名 #28,600
发表论文10 篇
平均评分
年均产出3.3 篇/年
AI 学术分析
Mohit Kataria
研究方向
Scaling Graph Learning · Graph Machine Learning · Graph Neural Networks · Graph Coarsening
发表论文（10 篇）
25
GraphFLEx: Structure Learning $\underline{\text{F}}$ramework for $\underline{\text{L}}$arge $\underline{\text{Ex}}$panding $\underline{\text{Graph}}$s
ICLR 2026Rejected
一作22
AH-UGC: $\underline{\text{A}}$daptive and $\underline{\text{H}}$eterogeneous-$\underline{\text{U}}$niversal $\underline{\text{G}}$raph $\underline{\text{C}}$oarsening
ICLR 2026Rejected
一作20
SENSE: $\underline{\text{SEN}}$sing Similarity $\underline{\text{SE}}$eing Structure
ICLR 2026Rejected
二作36
AH-UGC: $\underline{\text{A}}$daptive and $\underline{\text{H}}$eterogeneous-$\underline{\text{U}}$niversal $\underline{\text{G}}$raph $\underline{\text{C}}$oarsening
NeurIPS 2025Rejected
一作23
GraphFLEx: Structure Learning $\underline{\text{F}}$ramework for $\underline{\text{L}}$arge $\underline{\text{Ex}}$panding $\underline{\text{Graph}}$s
NeurIPS 2025Rejected
一作30
SENSE: $\underline{\text{SEN}}$sing Similarity $\underline{\text{SE}}$eing Structure
NeurIPS 2025Rejected
二作7
GraphFLEx: Structure Learning $\underline{\text{F}}$ramework for $\underline{\text{L}}$arge $\underline{\text{Ex}}$panding $\underline{\text{Graph}}$s
ICML 2025Rejected
一作